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ORCID28th EUSIPCO 2020: Amsterdam, Netherlands
- 28th European Signal Processing Conference, EUSIPCO 2020, Amsterdam, Netherlands, January 18-21, 2021. IEEE 2020, ISBN 978-9-0827-9705-3
- Mohammad MohammadAmini, Driss Matrouf:
Data augmentation versus noise compensation for x-vector speaker recognition systems in noisy environments. 1-5 - Ziqiang Shi, Liu Liu, Rujie Liu:
Hodge and Podge: Hybrid Supervised Sound Event Detection with Multi-Hot MixMatch and Composition Consistence Training. 1-5 - Dan Oneata, Lucian Georgescu
, Horia Cucu, Dragos Burileanu, Corneliu Burileanu:
Revisiting SincNet: An Evaluation of Feature and Network Hyperparameters for Speaker Recognition. 1-5 - Kuldeep Khoria, Madhu R. Kamble, Hemant A. Patil:
Teager Energy Cepstral Coefficients for Classification of Normal vs. Whisper Speech. 1-5 - Changzeng Fu, Chaoran Liu, Carlos Toshinori Ishi, Hiroshi Ishiguro:
An End-to-end Multitask Learning Model to Improve Speech Emotion Recognition. 1-5 - Gagan Rath, Fabien Racapé, Fabrice Urban, Fabrice Le Léannec, Franck Galpin, Karam Naser:
A general framework for directional intra prediction with varying angle for video coding. 1-4 - Mickael Rouvier, Richard Dufour, Pierre-Michel Bousquet:
Review of different robust x-vector extractors for speaker verification. 1-5 - Duowei Tang, Peter Kuppens, Luc Geurts, Toon van Waterschoot:
Adieu recurrence? End-to-end speech emotion recognition using a context stacking dilated convolutional network. 1-5 - Mattes Ohlenbusch, Aike Ahrens, Christian Rollwage, Jörg Bitzer:
Robust Drone Detection for Acoustic Monitoring Applications. 6-10 - Alessandro Ilic Mezza, Emanuël Anco Peter Habets, Meinard Müller, Augusto Sarti:
Unsupervised Domain Adaptation for Acoustic Scene Classification Using Band-Wise Statistics Matching. 11-15 - Karim Guirguis, Christoph Schorn, Andre Guntoro, Sherif Abdulatif, Bin Yang:
SELD-TCN: Sound Event Localization & Detection via Temporal Convolutional Networks. 16-20 - Dhanunjaya Varma Devalraju, Padmanabhan Rajan, Aroor Dinesh Dileep:
Learning to Separate: Soundscape Classification using Foreground and Background. 21-25 - Federico Colangelo, Federica Battisti, Alessandro Neri:
Progressive Training Of Convolutional Neural Networks For Acoustic Events Classification. 26-30 - Daniel Krause, Archontis Politis, Konrad Kowalczyk:
Feature Overview for Joint Modeling of Sound Event Detection and Localization Using a Microphone Array. 31-35 - Saori Takeyama, Tatsuya Komatsu, Koichi Miyazaki, Masahito Togami, Shunsuke Ono:
Robust Acoustic Scene Classification to Multiple Devices Using Maximum Classifier Discrepancy and Knowledge Distillation. 36-40 - Tatsuya Komatsu, Masahito Togami, Tsubasa Takahashi:
Sound Event Localization and Detection Using Convolutional Recurrent Neural Networks and Gated Linear Units. 41-45 - Pietro Stinco, Giovanni De Magistris, Alessandra Tesei, Kevin D. LePage:
Automatic Object Classification with Active Sonar using Unsupervised Anomaly Detection. 46-50 - Yuancheng Luo, Wontak Kim:
Fast Source-Room-Receiver Acoustics Modeling. 51-55 - Jaroslav Cmejla, Tomás Kounovský, Sharon Gannot, Zbynek Koldovský, Pinchas Tandeitnik:
MIRaGe: Multichannel Database of Room Impulse Responses Measured on High-Resolution Cube-Shaped Grid. 56-60 - Vincenzo Zaccà, Pablo Martínez-Nuevo, Martin Bo Møller, Jorge Martínez, Richard Heusdens:
Inferring the location of reflecting surfaces exploiting loudspeaker directivity. 61-65 - Luca Villa, Mirco Pezzoli, Fabio Antonacci, Augusto Sarti:
A Methodology for the Estimation of Propagation Speed of Longitudinal Waves in Tone Wood. 66-70 - Pierre-Amaury Grumiaux, Srdan Kitic, Laurent Girin, Alexandre Guérin:
High-Resolution Speaker Counting in Reverberant Rooms Using CRNN with Ambisonics Features. 71-75 - Suradej Duangpummet, Phrimphissa Kraikhun, Chatrin Phunruangsakao, Jessada Karnjana, Masashi Unoki, Waree Kongprawechnon:
Speech Privacy Protection based on Optimal Controlling Estimated Speech Transmission Index in Noisy Reverberant Environments. 76-80 - David S. Johnson, Sascha Grollmisch:
Techniques Improving the Robustness of Deep Learning Models for Industrial Sound Analysis. 81-85 - Hwiyong Choi, Haesang Yang, Seungjun Lee, Woojae Seong:
Type/position classification of inter-floor noise in residential buildings with a single microphone via supervised learning. 86-90 - Ayush Triapthi, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Dementia Classification using Acoustic Descriptors Derived from Subsampled Signals. 91-95 - Albertus C. den Brinker, M. Coman, Okke Ouweltjes, Michael G. Crooks, Susannah Thackray-Nocera, Alyn H. Morice:
Performance Requirements for Cough Classifiers in Real-World Applications. 96-100 - Mirali Purohit, Mihir Parmar, Maitreya Patel, Harshit Malaviya, Hemant A. Patil:
Weak Speech Supervision: A case study of Dysarthria Severity Classification. 101-105 - William Vickers, B. Milner, Artjoms Gorpincenko, R. Lee:
Methods to Improve the Robustness of Right Whale Detection using CNNs in Changing Conditions. 106-110 - Nikonas Simou, Nikolaos Stefanakis, Panagiotis Zervas:
A Universal System for Cough Detection in Domestic Acoustic Environments. 111-115 - Amlu Anna Joshy, Rajeev Rajan:
Automated Dysarthria Severity Classification Using Deep Learning Frameworks. 116-120 - Kuan-Lin Chen, Ching Hua Lee, Bhaskar D. Rao, Harinath Garudadri:
Jointly Leveraging Decorrelation and Sparsity for Improved Feedback Cancellation in Hearing Aids. 121-125 - Peter Steiner, Simon Stone, Peter Birkholz, Azarakhsh Jalalvand:
Multipitch tracking in music signals using Echo State Networks. 126-130 - Andres Ferraro, Dmitry Bogdanov, Xavier Serra, Jay Ho Jeon, Jason Yoon:
How Low Can You Go? Reducing Frequency and Time Resolution in Current CNN Architectures for Music Auto-tagging. 131-135 - Juan Sebastián Gómez Cañón, Estefanía Cano, Perfecto Herrera, Emilia Gómez:
Transfer learning from speech to music: towards language-sensitive emotion recognition models. 136-140 - Ruchit Agrawal, Simon Dixon:
Learning Frame Similarity using Siamese networks for Audio-to-Score Alignment. 141-145 - Lech Kolonko, Jörg Velten, Anton Kummert:
Automatic Differentiating Wave Digital Filters with Multiple Nonlinearities. 146-150 - Alessandro Proverbio, Alberto Bernardini, Augusto Sarti:
Toward the Wave Digital Real-Time Emulation of Audio Circuits with Multiple Nonlinearities. 151-155 - Agelos Kratimenos, Kleanthis Avramidis, Christos Garoufis, Athanasia Zlatintsi, Petros Maragos:
Augmentation Methods on Monophonic Audio for Instrument Classification in Polyphonic Music. 156-160 - Javier Nistal, Stefan Lattner, Gaël Richard:
Comparing Representations for Audio Synthesis Using Generative Adversarial Networks. 161-165 - Xianghui Xie, Jared Houghtaling, Katrien Foubert, Toon van Waterschoot:
Computational Approach to Track Beats in Improvisational Music Performance. 166-170 - Mina Mounir, Peter Karsmakers, Toon van Waterschoot:
CNN-based Note Onset Detection using Synthetic Data Augmentation. 171-175 - Sofia-Eirini Kotti, Richard Heusdens, Richard C. Hendriks:
Clock-Offset and Microphone Gain Mismatch Invariant Beamforming. 176-180 - Amos Schreibman, Anna Barnov, Alex Gendelman, Eli Tzirkel:
RTF Based LCMV Beamformer with Multiple Reference Microphones. 181-185 - Federico Borra, Mirco Pezzoli, Luca Comanducci, Alberto Bernardini, Fabio Antonacci, Stefano Tubaro, Augusto Sarti:
A Fast Ray Space Transform for Wave Field Processing using Acoustic Arrays. 186-190 - Thomas Dietzen, Marc Moonen, Toon van Waterschoot:
Instantaneous PSD Estimation for Speech Enhancement based on Generalized Principal Components. 191-195 - Tobias Gburrek, Joerg Schmalenstroeer, Andreas Brendel, Walter Kellermann, Reinhold Haeb-Umbach:
Deep Neural Network based Distance Estimation for Geometry Calibration in Acoustic Sensor Networks. 196-200 - Patrick Meyer, Samy Elshamy, Jan Franzen, Tim Fingscheidt:
Multichannel Acoustic Echo Cancellation Applied to Microphone Leakage Reduction in Meetings. 201-205 - Santiago Ruiz, Toon van Waterschoot, Marc Moonen:
Distributed combined acoustic echo cancellation and noise reduction using GEVD-based distributed adaptive node specific signal estimation with prior knowledge. 206-210 - Jacob Benesty, Constantin Paleologu, Claudia-Cristina Oprea, Silviu Ciochina:
An Iterative Multichannel Wiener Filter Based on a Kronecker Product Decomposition. 211-215 - Amélie Bosca, Alexandre Guérin, Lauréline Perotin, Srdan Kitic:
Dilated U-net based approach for multichannel speech enhancement from First-Order Ambisonics recordings. 216-220 - Vincent W. Neo, Christine Evers, Patrick A. Naylor:
Speech Dereverberation Performance of a Polynomial-EVD Subspace Approach. 221-225 - Juan Manuel Vera-Diaz, Daniel Pizarro, Javier Macías Guarasa:
Towards Domain Independence in CNN-based Acoustic Localization using Deep Cross Correlations. 226-230 - Christopher Schymura, Tsubasa Ochiai, Marc Delcroix, Keisuke Kinoshita, Tomohiro Nakatani, Shoko Araki, Dorothea Kolossa:
Exploiting Attention-based Sequence-to-Sequence Architectures for Sound Event Localization. 231-235 - Maria Juhlin, Andreas Jakobsson:
Optimal Microphone Placement for Localizing Tonal Sound Sources. 236-240 - Milan Courcoux-Caro, Charles Vanwynsberghe, Cédric Herzet, Alexandre Baussard:
Sequential Sensor Placement using Bayesian Compressed Sensing for Source Localization. 241-245 - Yonggang Hu, Thushara D. Abhayapala, Prasanga N. Samarasinghe, Sharon Gannot:
Decoupled Direction-of-Arrival Estimations Using Relative Harmonic Coefficients. 246-250 - Hui Chen, Tarig Ballal, Tareq Y. Al-Naffouri:
Phase-difference-based 3-D Source Localization Using a Compact Receiver Configuration. 251-255 - Frank Sanabria-Macias, Marta Marrón Romera, Javier Macías Guarasa:
3D Audiovisual Speaker Tracking with Distributed Sensors Configuration. 256-260 - Emad M. Grais, Fei Zhao, Mark D. Plumbley:
Multi-Band Multi-Resolution Fully Convolutional Neural Networks for Singing Voice Separation. 261-265 - Masahito Togami:
Deep Multi-channel Speech Source Separation with Time-frequency Masking for Spatially Filtered Microphone Input Signal. 266-270 - Yuyang Huang, Ping Chu, Bin Liao:
Blind Separation of Convolutive Speech Mixtures Based on Local Sparsity and K-means. 271-275 - Yaron Laufer, Sharon Gannot:
A Bayesian Hierarchical Model for Blind Audio Source Separation. 276-280 - Michel Olvera, Emmanuel Vincent, Romain Serizel, Gilles Gasso:
Foreground-Background Ambient Sound Scene Separation. 281-285 - Mariem Bouafif Mansali, Tom Bäckström, Zied Lachiri:
Evaluation of Zero Frequency Filtering based Method for Multi-pitch Streaming of Concurrent Speech Signals. 286-290 - Dexin Li, Gongping Huang, Yanqiang Lei, Jingdong Chen, Jacob Benesty:
Robust Source Separation with Differential Microphone Arrays and Independent Low-Rank Matrix Analysis. 291-295 - Shoichiro Takeda, Kenta Niwa, Shinya Shimizu:
Differentiable Max-Directivity Beamforming Normalization for Independent Vector Analysis. 296-300 - Taishi Nakashima, Robin Scheibler, Yukoh Wakabayashi, Nobutaka Ono:
Faster independent low-rank matrix analysis with pairwise updates of demixing vectors. 301-305 - Kazuyoshi Yoshii, Kouhei Sekiguchi, Yoshiaki Bando, Mathieu Fontaine, Aditya Arie Nugraha:
Fast Multichannel Correlated Tensor Factorization for Blind Source Separation. 306-310 - Yosuke Higuchi, Naohiro Tawara, Atsunori Ogawa, Tomoharu Iwata, Tetsunori Kobayashi, Tetsuji Ogawa:
Noise-robust Attention Learning for End-to-End Speech Recognition. 311-315 - Shi-Yan Weng, Tien-Hong Lo, Berlin Chen:
An Effective Contextual Language Modeling Framework for Speech Summarization with Augmented Features. 316-320 - Cong-Thanh Do, Shucong Zhang, Thomas Hain:
Selective Adaptation of End-to-End Speech Recognition using Hybrid CTC/Attention Architecture for Noise Robustness. 321-325 - Katerina Papadimitriou, Gerasimos Potamianos:
A Fully Convolutional Sequence Learning Approach for Cued Speech Recognition from Videos. 326-330 - Iván López-Espejo, Zheng-Hua Tan, Jesper Jensen:
Exploring Filterbank Learning for Keyword Spotting. 331-335 - Gonzalo D. Sad, Juan Carlos Gómez:
Audio-Visual Speech Classification based on Absent Class Detection. 336-340 - Wentao Yu, Steffen Zeiler, Dorothea Kolossa:
Multimodal Integration for Large-Vocabulary Audio-Visual Speech Recognition. 341-345 - Sunit Sivasankaran, Emmanuel Vincent, Dominique Fohr:
Analyzing the impact of speaker localization errors on speech separation for automatic speech recognition. 346-350 - Simon W. McKnight, Aidan O. T. Hogg, Patrick A. Naylor:
Analysis of Phonetic Dependence of Segmentation Errors in Speaker Diarization. 381-385 - Gauri P. Prajapati, Madhu R. Kamble, Hemant A. Patil:
Energy Separation Based Features for Replay Spoof Detection for Voice Assistant. 386-390 - Roee Levy Leshem, Raja Giryes:
Taco-VC: A Single Speaker Tacotron based Voice Conversion with Limited Data. 391-395 - Kazuhiro Kobayashi, Tomoki Toda:
Implementation of low-latency electrolaryngeal speech enhancement based on multi-task CLDNN. 396-400 - Frederik Bous, Luc Ardaillon, Axel Roebel:
Semi-supervised learning of glottal pulse positions in a neural analysis-synthesis framework. 401-405 - Rafael Ferro, Nicolas Obin, Axel Roebel:
CycleGAN Voice Conversion of Spectral Envelopes using Adversarial Weights. 406-410 - Maitreya Patel, Mirali Purohit, Jui Shah, Hemant A. Patil:
CinC-GAN for Effective F0 prediction for Whisper-to-Normal Speech Conversion. 411-415 - João Silva, Marco A. Oliveira, Aníbal J. S. Ferreira:
Flexible parametric implantation of voicing in whispered speech under scarce training data. 416-420 - Sisi Shi, Andrew Busch, Kuldip K. Paliwal, Thomas Fickenscher:
On The Use of Discrete Cosine Transform Polarity Spectrum in Speech Enhancement. 421-425 - Konstantin Schmidt, Bernd Edler:
Blind Bandwidth Extension of Speech based on LPCNet. 426-430 - Yang Xian, Yang Sun, Wenwu Wang, Syed Mohsen Naqvi:
Multi-Scale Residual Convolutional Encoder Decoder with Bidirectional Long Short-Term Memory for Single Channel Speech Enhancement. 431-435 - Bong-Ki Lee:
DNN Classification Model-based Speech Enhancement Using Mask Selection Technique. 436-440 - Takuya Hasumi, Tetsunori Kobayashi, Tetsuji Ogawa:
Investigation of Network Architecture for Single-Channel End-to-End Denoising. 441-445 - Dushyant Sharma, Lucia Berger, Carl Quillen, Patrick A. Naylor:
Non-Intrusive Estimation of Speech Signal Parameters using a Frame-based Machine Learning Approach. 446-450 - Sherif Abdulatif, Karim Armanious, Karim Guirguis, Jayasankar T. Sajeev, Bin Yang:
AeGAN: Time-Frequency Speech Denoising via Generative Adversarial Networks. 451-455 - Moe Takada, Shogo Seki, Patrick Lumban Tobing, Tomoki Toda:
Semi-Supervised Enhancement and Suppression of Self-Produced Speech Using Correspondence between Air- and Body-Conducted Signals. 456-460 - Filip Wen-Fwu Tsai, Alireza M. Javid, Saikat Chatterjee:
Design of a Non-negative Neural Network to Improve on NMF. 461-465 - Niccolò Nicodemo, Gaurav Naithani, Konstantinos Drossos, Tuomas Virtanen, Roberto Saletti:
Memory Requirement Reduction of Deep Neural Networks for Field Programmable Gate Arrays Using Low-Bit Quantization of Parameters. 466-470 - Pierre Mahé, Stéphane Ragot, Sylvain Marchand, Jérôme Daniel:
Ambisonic Coding with Spatial Image Correction. 471-475 - Thomas Joubaud, Grégory Pallone:
Electroacoustic method for the calibration of a heterogeneous distributed speaker system. 476-480 - Robbe Van Rompaey, Marc Moonen:
Distributed Adaptive Acoustic Contrast Control for Node-specific Sound Zoning in a Wireless Acoustic Sensor and Actuator Network. 481-485 - Huanyu Zuo, Prasanga N. Samarasinghe, Thushara D. Abhayapala:
Intensity Based Soundfield Reproduction over Multiple Sweet Spots Using an Irregular Loudspeaker Array. 486-490 - Rebecca C. Felsheim, Andreas Brendel, Patrick A. Naylor, Walter Kellermann:
Head Orientation Estimation from Multiple Microphone Arrays. 491-495 - Giovanni Pepe, Leonardo Gabrielli, Stefano Squartini, Luca Cattani, Carlo Tripodi:
Gravitational Search Algorithm for IIR Filter-Based Audio Equalization. 496-500 - Aziz Berkay Yesilyurt, Fatih Kamisli:
End-to-end Learned Image Compression with Conditional Latent Space Modeling for Entropy Coding. 501-505 - Paulo Eusébio, João Ascenso, Fernando Pereira:
Optimizing an Image Coding Framework with Deep Learning-based Pre- and Post-Processing. 506-510 - Ferdinand Jost, Pascal Peter, Joachim Weickert:
Compressing Piecewise Smooth Images with the Mumford-Shah Cartoon Model. 511-515 - Melpomeni Dimopoulou, Marc Antonini:
Image storage in DNA using Vector Quantization. 516-520 - Ionut Schiopu, Hongyue Huang, Adrian Munteanu:
A Study of Deep-Learning-based Prediction Methods for Lossless Coding. 521-525 - Emanuele Palma, Federica Battisti, Marco Carli, Pekka Astola, Ioan Tabus:
Subjective Quality Evaluation of Light Field Data Under Coding Distortions. 526-530 - Iago Storch, Guilherme Corrêa, Bruno Zatt, Luciano Agostini, Daniel Palomino:
ESA360 - Early SKIP Mode Decision Algorithm for Fast ERP 360 Video Coding. 535-539 - Guilherme Corrêa, Pargles Dall'Oglio, Daniel Palomino, Luciano Agostini:
Fast Block Size Decision for HEVC Encoders with On-the-Fly Trained Classifiers. 540-544 - Jayasingam Adhuran, Anil Fernando, Gosala Kulupana, Saverio G. Blasi:
Affine Intra-prediction for Versatile Video Coding. 545-549 - Matheus Lindino, Thiago Bubolz, Bruno Zatt, Daniel Palomino, Guilherme Corrêa:
Low-Complexity HEVC Transrating Based on Prediction Unit Mode Inheritance. 550-554 - Alex Borges, Daniel Palomino, Bruno Zatt, Marcelo Schiavon Porto, Guilherme Corrêa:
Fast VP9-to-AV1 Transcoding based on Block Partitioning Inheritance. 555-559 - Daiane Freitas, Rafael da Silva, Ícaro Siqueira, Cláudio Machado Diniz, Ricardo A. L. Reis, Mateus Grellert:
Hardware Architecture for the Regular Interpolation Filter of the AV1 Video Coding Standard. 560-564 - Andreas Aßmann, Yun Wu, Brian Stewart, Andrew M. Wallace:
Accelerated 3D Image Reconstruction for Resource Constrained Systems. 565-569 - Quentin Demoulin, François Lefebvre-Albaret, Adrian Basarab, Denis Kouamé, Jean-Yves Tourneret:
Wing 3D Reconstruction by Constraining the Bundle Adjustment with Mechanical Limitations. 570-574 - Nantheera Anantrasirichai, Majid Geravand, David Braendler, David R. Bull:
Fast Depth Estimation for View Synthesis. 575-579 - Oleksii Doronin, Robert Bregovic, Atanas P. Gotchev:
Optimized 3D Scene Rendering on Projection-Based 3D Displays. 580-584 - Muhammad Abeer Irfan, Enrico Magli:
3D Point Cloud Denoising Using a Joint Geometry and Color k-NN Graph. 585-589 - Paula Stancelova, Elena Sikudová, Zuzana Cernekova:
3D Feature Detector-Descriptor Pair Evaluation on Point Clouds. 590-594 - Emil Dumic, Federica Battisti, Marco Carli, Luís Alberto da Silva Cruz:
Point Cloud Visualization Methods: a Study on Subjective Preferences. 595-599 - Elena Vasileva, Nenad Avramovski, Zoran A. Ivanovski:
Detection of Package Edges in Distance Maps. 600-604 - Yusuke Kameda, Ichiro Matsuda, Susumu Itoh:
Numerically stable multi-channel depth scene flow with adaptive weighting of regularization terms. 605-609 - El-Hadji Samba Diop, Karl Skretting, Abdel-Ouahab Boudraa:
AM-FM Image Analysis based on Sparse Coding Frequency Separation Approach. 610-614 - Yunan Wu:
Go-selfies: A Fast Selfies Background Removal Method Using ResU-Net Deep Learning. 615-619 - Ilham Elouariachi, Rachid Benouini, Khalid Zenkouar, Arsalane Zarghili, Hakim el Fadili:
Explicit quaternion krawtchouk moment invariants for finger-spelling sign language recognition. 620-624 - Ilyes Batatia:
A Deep Learning Method with CRF for Instance Segmentation of Metal-Organic Frameworks in Scanning Electron Microscopy Images. 625-629 - Takahiro Nagae, Ryo Abiko, Takuro Yamaguchi, Masaaki Ikehara:
Shadow Detection and Removal Using GAN. 630-634 - Dimitra-Christina C. Koutsiou, Michalis A. Savelonas, Dimitris K. Iakovidis:
H-V Shadow Detection Based on Electromagnetism-Like Optimization. 635-639 - Stelios E. Ploumis, Ronan Boitard, Panos Nasiopoulos:
Image Brightness Quantification for HDR. 640-644 - Tilo Strutz, Alexander Leipnitz:
Comparison of Light-Weight Multi-Scale CNNs for Texture Regression in Agricultural Context. 645-649 - Baris Büyüktas, Çigdem Eroglu Erdem, Arif Tanju Erdem:
Curriculum Learning for Face Recognition. 650-654 - Kuan-Hsien Liu, Tsung-Jung Liu, Fei Wang:
CBL: A Clothing Brand Logo Dataset and a New Method for Clothing Brand Recognition. 655-659 - Hiroya Yamamoto, Daichi Kitahara, Akira Hirabayashi:
Image Super-Resolution via Generative Adversarial Network Using an Orthogonal Projection. 660-664 - Takuro Matsui, Masaaki Ikehara:
GAN-Based Rain Noise Removal from Single-Image Considering Rain Composite Models. 665-669 - Pham Huu Thanh Binh, Cristóvão Cruz, Karen O. Egiazarian:
Flashlight CNN Image Denoising. 670-674 - Jenny Zukerman, Tom Tirer, Raja Giryes:
BP-DIP: A Backprojection based Deep Image Prior. 675-679 - Jose N. Filipe, Pedro A. Amado Assunção, Luis M. N. Tavora, Rui Fonseca-Pinto, Lucas A. Thomaz, Sérgio M. M. de Faria:
Improved Patch-based View Rendering for Focused Plenoptic Cameras with Extended Depth-of-Field. 680-684 - Yosuke Ueki, Masaaki Ikehara:
Weighted Generalization of Dark Channel Prior with Adaptive Color Correction for Defogging. 685-689 - Swapna Agarwal, Dipanjan Das, Brojeshwar Bhowmick:
Realistic Lip Animation from Speech for Unseen Subjects using Few-shot Cross-modal Learning. 690-694 - Bian Xiong, Qinghua Zhang, Vincent Baltazart:
Analysis of Quadratic Surface Fitting for Subpixel Motion Extraction from Video Images. 695-699 - Santiago López-Tapia, Alice Lucas, Rafael Molina, Aggelos K. Katsaggelos:
Gated Recurrent Networks for Video Super Resolution. 700-704 - Montse Pardàs, Gemma Canet:
Refinement Network for unsupervised on the scene Foreground Segmentation. 705-709 - Lin Chen, Xue Jiang, Xingzhao Liu, Zhixin Zhou:
Tensor Recovery via Nonconvex Low-Rank Approximation. 710-714 - Veronica Mattioli, Davide Alinovi, Riccardo Raheli:
A Maximum Likelihood Approach to Speed Estimation of Foreground Objects in Video Signals. 715-719 - Fernando Pérez-González, Samuel Fernández-Menduiña:
PRNU-leaks: facts and remedies. 720-724 - Pauline Puteaux, Zichi Wang, Xinpeng Zhang, William Puech:
Hierarchical High Capacity Data Hiding in JPEG Crypto-compressed Images. 725-729 - Kenta Iida, Hitoshi Kiya:
A Content-based Image Retrieval Scheme Using Compressible Encrypted Images. 730-734 - Fred Maurice Ngolè Mboula, Erwan Nogues:
IDrISS: Intrusion Detection for IT Systems Security : Toward a semantic modelling of side-channel signals. 735-739 - Alessandro Nicolussi, Simon Tanner, Roger Wattenhofer:
Aircraft Fingerprinting Using Deep Learning. 740-744 - Warit Sirichotedumrong, Hitoshi Kiya:
A GAN-Based Image Transformation Scheme for Privacy-Preserving Deep Neural Networks. 745-749 - Ridvan Salih Kuzu, Emanuele Maiorana, Patrizio Campisi:
Loss Functions for CNN-based Biometric Vein Recognition. 750-754 - Shideh Rezaeifar, Maurits Diephuis, Behrooz Razeghi, Denis Ullmann, Olga Taran, Slava Voloshynovskiy:
Distributed Semi-Private Image Classification Based on Information-Bottleneck Principle. 755-759 - Alex Matlock, Yujia Xue, Yunzhe Li, Shiyi Cheng, Waleed Tahir, Lei Tian:
Model and learning-based computational 3D phase microscopy with intensity diffraction tomography. 760-764 - Valentin Debarnot, Paul Escande, Thomas Mangeat, Pierre Weiss:
Modelling a Microscope as Low Dimensional Subspace of Operators. 765-769 - Ayush Bhandari, Matthias Beckmann, Felix Krahmer:
The Modulo Radon Transform and its Inversion. 770-774 - M. Salman Asif, Chinmay Hegde:
The Benefits of Side Information for Structured Phase Retrieval. 775-778 - Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis:
Designing CNNs for Multimodal Image Super-Resolution via the Method of Multipliers. 780-783 - Simon Labouesse, Jérôme Idier, Anne Sentenac, Thomas Mangeat, Marc Allain:
Random Illumination Microscopy from Variance Images. 785-789 - Sascha Grollmisch, Estefanía Cano, Christian Kehling, Michael Taenzer:
Analyzing the Potential of Pre-Trained Embeddings for Audio Classification Tasks. 790-794 - Paul M. Baggenstoss:
The Projected Belief Network Classifier: both Generative and Discriminative. 795-799 - Kevin Wilkinghoff:
On Open-Set Classification with L3-Net Embeddings for Machine Listening Applications. 800-804 - Rui Watanabe, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo:
DNN-Based Frequency Component Prediction for Frequency-Domain Audio Source Separation. 805-809 - Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini, Yong-Cheol Lee:
Deep Recurrent Neural Networks for Audio Classification in Construction Sites. 810-814 - Tina Raissi, Santiago Pascual, Maurizio Omologo:
Sample drop detection for asynchronous devices distributed in space. 815-819 - Daniel Krause, Archontis Politis, Konrad Kowalczyk:
Comparison of Convolution Types in CNN-based Feature Extraction for Sound Source Localization. 820-824 - Pawel Drozdowski, Bernhard Prommegger, Georg Wimmer, Rudolf Schraml, Christian Rathgeb, Andreas Uhl, Christoph Busch:
Demographic Bias: A Challenge for Fingervein Recognition Systems? 825-829 - Andraz Puc, Vitomir Struc, Klemen Grm:
Analysis of Race and Gender Bias in Deep Age Estimation Models. 830-834 - Meiling Fang, Naser Damer, Florian Kirchbuchner, Arjan Kuijper:
Demographic Bias in Presentation Attack Detection of Iris Recognition Systems. 835-839 - Kenneth Lai, Helder Cesar Rodigues de Oliveira, Ming Hou, Svetlana N. Yanushkevich, Vlad P. Shmerko:
Assessing Risks of Biases in Cognitive Decision Support Systems. 840-844 - Maosheng Yang, Mario Coutino, Elvin Isufi, Geert Leus:
Node Varying Regularization for Graph Signals. 845-849 - R. A. Borsoi, Cédric Richard, André Ferrari, Jie Chen, José Carlos M. Bermudez:
Online Graph-Based Change Point Detection in Multiband Image Sequences. 850-854 - Samuel Rey, Victor Tenorio, Sergio Rozada, Luca Martino, Antonio G. Marques:
Overparametrized Deep Encoder-Decoder Schemes for Inputs and Outputs Defined over Graphs. 855-859 - Alejandro Parada-Mayorga, Luana Ruiz, Alejandro Ribeiro:
Graphon Pooling in Graph Neural Networks. 860-864 - Rasoul Shafipour, Gonzalo Mateos:
Online proximal gradient for learning graphs from streaming signals. 865-869 - Yicheng Du, Kouhei Sekiguchi, Yoshiaki Bando, Aditya Arie Nugraha, Mathieu Fontaine, Kazuyoshi Yoshii, Tatsuya Kawahara:
Semi-supervised Multichannel Speech Separation Based on a Phone- and Speaker-Aware Deep Generative Model of Speech Spectrograms. 870-874 - Andreas Brendel, Walter Kellermann:
Informed Source Extraction based on Independent Vector Analysis using Eigenvalue Decomposition. 875-879 - Takao Kawamura, Nobutaka Ono, Robin Scheibler, Yukoh Wakabayashi, Ryoichi Miyazaki:
Acoustic Object Canceller Using Blind Compensation for Sampling Frequency Mismatch. 880-884 - Hiroshi Sawada, Rintaro Ikeshita, Tomohiro Nakatani:
Experimental Analysis of EM and MU Algorithms for Optimizing Full-rank Spatial Covariance Model. 885-889 - Keigo Kamo, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo:
Joint-Diagonalizability-Constrained Multichannel Nonnegative Matrix Factorization Based on Multivariate Complex Sub-Gaussian Distribution. 890-894 - Avital Bross, Bracha Laufer-Goldshtein, Sharon Gannot:
Multiple Speaker Localization using Mixture of Gaussian Model with Manifold-based Centroids. 895-899 - Pietro Bonizzi, Stef Zeemering, Frank van Rosmalen, Ulrich Schotten, Joël M. H. Karel:
Noninvasive Assessment of Spatio-Temporal Recurrence in Atrial Fibrillation. 900-904 - Bart Kölling, Bahareh Abdi, Natasja M. S. de Groot, Richard C. Hendriks:
Local Activation Time Estimation in Atrial Electrograms Using Cross-Correlation over Higher-Order Neighbors. 905-909 - Anna McCann, Adrian Luca, Etienne Pruvot, Laurent Roten, Christian Sticherling, Jean-Marc Vesin:
Ventricular response regularity in atrial fibrillation and its relationship to successful catheter ablation. 910-914 - Pedro Marinho R. de Oliveira, Vicente Zarzoso, Carlos Alexandre R. Fernandes:
Coupled Tensor Model of Atrial Fibrillation ECG. 915-919 - Jennifer Riccio, Alejandro Alcaine, Sara Rocher, Pablo Laguna, Javier Saiz, Juan Pablo Martínez:
Omnipolar EGM Voltage Mapping for Atrial Fibrosis Identification Evaluated with an Electrophysiological Model. 920-924 - Gorana Mijatovic, Tatjana Loncar-Turukalo, Nebojsa Bozanic, Luca Faes:
Information - theoretic characterization of concurrent activity of neural spike trains. 925-929 - Davide Nuzzi, Luca Faes, Michal Javorka, Daniele Marinazzo, Sebastiano Stramaglia:
Inclusion of Instantaneous Influences in the Spectral Decomposition of Causality: Application to the Control Mechanisms of Heart Rate Variability. 930-934 - Karin Schiecke, Franz Benninger, Martha Feucht:
Analysis of Brain-Heart Couplings in Epilepsy: Dealing With the Highly Complex Structure of Resulting Interaction Pattern. 935-939 - Yuri Antonacci, Laura Astolfi, Luca Faes:
Testing different methodologies for Granger causality estimation: A simulation study. 940-944 - Plamen Ch. Ivanov, Jilin W. J. L. Wang, Xiyun Zhang:
Signal processing in Network Physiology: quantifying network dynamics of organ interactions. 945-949 - Ammar Mian, Elias Raninen, Esa Ollila:
A Comparative Study of Supervised Learning Algorithms for Symmetric Positive Definite Features. 950-954 - Jeanne Lefevre, Jonathan H. Manton, Nicolas Le Bihan:
An optimisation geometry framework for the Rayleigh quotient. 955-959 - Samy Labsir, Audrey Giremus, Brice Yver, Thomas Benoudiba-Campanini:
A Lie-group based modelling for centroid and shape estimation of a cluster of space debris. 960-964 - Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Alexandre Renaux:
A Riemannian approach to blind separation of t-distributed sources. 965-969 - Michael Perlmutter, Nada Sissouno, Aditya Viswanathan, Mark A. Iwen:
A Provably Accurate Algorithm for Recovering Compactly Supported Smooth Functions from Spectrogram Measurements. 970-974 - Oleh Melnyk, Anton Forstner, Felix Krahmer, Nada Sissouno:
Stable Ptychographic Phase Retrieval via Lost Subspace Completion. 975-979 - Cyril Cordor, Brendan Williams, Yulia Hristova, Aditya Viswanathan:
Fast 2D Phase Retrieval using Bandlimited Masks. 980-984 - Carla Schenker, Jeremy E. Cohen, Evrim Acar:
An Optimization Framework for Regularized Linearly Coupled Matrix-Tensor Factorization. 985-989 - Arthur Marmin, Marc Castella, Jean-Christophe Pesquet:
Globally Optimizing Owing to Tensor Decomposition. 990-994 - Le Trung Thanh, Karim Abed-Meraim, Nguyen Linh-Trung, Rémy Boyer:
Adaptive Algorithms for Tracking Tensor-Train Decomposition of Streaming Tensors. 995-999 - Abdelhak Boudehane, Yassine Zniyed, Arthur Tenenhaus, Laurent Le Brusquet, Rémy Boyer:
Dictionary-Based Tensor-Train Sparse Coding. 1000-1004 - Alexey Alexandrovich Korobkov, Marina K. Diugurova, Jens Haueisen, Martin Haardt:
Multi-dimensional model order estimation using LineAr Regression of Global Eigenvalues (LaRGE) with applications to EEG and MEG recordings. 1005-1009 - Qi Lyu, Xiao Fu:
Nonlinear Dependent Component Analysis: Identifiability and Algorithm. 1010-1014 - Timothy Marrinan, Nicolas Gillis:
Hyperspectral Unmixing with Rare Endmembers via Minimax Nonnegative Matrix Factorization. 1015-1019 - Nico Vervliet, Andreas Themelis, Panagiotis Patrinos, Lieven De Lathauwer:
A Quadratically Convergent Proximal Algorithm For Nonnegative Tensor Decomposition. 1020-1024 - Irina Belyaeva, Qunfang Long, Tülay Adali:
Inexact Proximal Conjugate Subgradient Algorithm for fMRI Data Completion. 1025-1029 - Zois Boukouvalas, Monica Puerto, Daniel C. Elton, Peter W. Chung, Mark D. Fuge:
Independent Vector Analysis for Molecular Data Fusion: Application to Property Prediction and Knowledge Discovery of Energetic Materials. 1030-1034 - Dana Lahat, Cédric Févotte:
Positive Semidefinite Matrix Factorization Based on Truncated Wirtinger Flow. 1035-1039 - Paris A. Karakasis, Athanasios P. Liavas, Nicholas D. Sidiropoulos, Panagiotis G. Simos, Efrosyni Papadaki:
Multi-subject Resting-State fMRI Data Analysis via Generalized Canonical Correlation Analysis. 1040-1044 - Dimitris G. Chachlakis, Panos P. Markopoulos:
Novel Algorithms for Lp-Quasi-Norm Principal-Component Analysis. 1045-1049 - Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro:
Graphon Filters: Signal Processing in Very Large Graphs. 1050-1054 - Mario Coutino, Elvin Isufi, Takanori Maehara, Geert Leus:
State-Space Based Network Topology Identification. 1055-1059 - Thomas Dittrich, Gerald Matz:
Unsupervised Clustering on Signed Graphs with Unknown Number of Clusters. 1060-1064 - Sameer Ranjan Sahu, Rama Krishna Sai Subrahmanyam Gorthi, Subrahmanyam Gorthi:
Epileptic Seizure Detection and Anticipation using Deep Learning with Ordered Encoding of Spectrogram Features. 1065-1069 - Ozlem Karabiber Cura, Mehmet Akif Ozdemir, Sude Pehlivan, Aydin Akan:
A Dynamic Mode Decomposition Based Approach for Epileptic EEG Classification. 1070-1074 - Amita Giri, Lalan Kumar, Tapan Kumar Gandhi:
Robust EEG Source Localization Using Subspace Principal Vector Projection Technique. 1075-1079 - Guanchao Feng, J. Gerald Quirk, Cassandra Heiselman, Petar M. Djuric:
Estimation of Consecutively Missed Samples in Fetal Heart Rate Recordings. 1080-1084 - Ehab Essa, Xianghua Xie:
Multi-model Deep Learning Ensemble for ECG Heartbeat Arrhythmia Classification. 1085-1089 - Rui Yan, Fan Li, Dongdong Zhou, Tapani Ristaniemi, Fengyu Cong:
A Deep Learning Model for Automatic Sleep Scoring using Multimodality Time Series. 1090-1094 - Anastasia Pentari, George Tzagkarakis, Kostas Marias, Panagiotis Tsakalides:
Graph-based Denoising of EEG Signals in Impulsive Environments. 1095-1099 - Gautam Krishna, Co Tran, Mason Carnahan, Yan Han, Ahmed H. Tewfik:
Generating EEG features from Acoustic features. 1100-1104 - Oishee Mazumder, Dibyendu Roy, Aniruddha Sinha:
In Silico Cardiac Model to Evaluate Myocardial Ischemia effect on Hemodynamic Parameters. 1105-1109 - Tayebeh Lotfi Mahyari, Richard M. Dansereau:
Deep Learning Methods for Image Decomposition of Cervical Cells. 1110-1114 - Ioannis K. Douros, Ajinkya Kulkarni, Yu Xie, Chrysanthi Dourou, Jacques Felblinger, Karyna Isaieva, Pierre-André Vuissoz, Yves Laprie:
MRI Vocal Tract Sagittal Slices Estimation During Speech Production of CV. 1115-1119 - Faezeh Fallah, Felix Wiewel, Bin Yang:
Semi-supervised Riemannian Dimensionality Reduction and Classification Using a Manifold-based Random Walker Graph. 1120-1124 - Sjir J. C. Schielen, J. K. H. Spoor, R. E. M. Fleischeuer, H. B. Verheul, S. Leenstra, Svitlana Zinger:
Shape-Based Glioma Mutation Prediction Using Magnetic Resonance Imaging. 1125-1129 - Raika Karimi, Arash Mohammadi, Laura Rosero, Amir Asif:
Deep Video Canonical Correlation Analysis for Steady State motion Visual Evoked Potential Feature Extraction. 1130-1134 - Najmeh Fayyazifar:
An Accurate CNN Architecture For Atrial Fibrillation Detection Using Neural Architecture Search. 1135-1139 - Arindam Ray, Anwesha Khasnobish, Smriti Rani, Arijit Chowdhury, Tapas Chakravarty:
Exploration of Mode Decomposition for Concurrent Cardiopulmonary Monitoring using Dual Radar. 1140-1144 - Noramon Dron, Richard F. M. Chin, Javier Escudero:
Canonical polyadic and block term decompositions to fuse EEG, phenotypic scores, and structural MRI of children with early-onset epilepsy. 1145-1149 - Nasimuddin Ahmed, Chirayata Bhattacharyya, Avik Ghose:
A Novel Non-Parametric Approach Of Tremor Detection Using Wrist-Based Photoplethysmograph. 1150-1154 - Hanie Moghaddasi, Alle-Jan van der Veen, Natasja M. S. de Groot, Borbála Hunyadi:
Tensor-based Detection of Paroxysmal and Persistent Atrial Fibrillation from Multi-channel ECG. 1155-1159 - Pamela Zontone, Antonio Affanni, Riccardo Bernardini, Leonida Del Linz, Alessandro Piras, Roberto Rinaldo:
Emotional Response Analysis Using Electrodermal Activity, Electrocardiogram and Eye Tracking Signals in Drivers With Various Car Setups. 1160-1164 - Sebastian Alphonse, Aaron J. Polichnowski, Karen A. Griffin, Anil K. Bidani, Geoffrey A. Williamson:
Autoregulatory Efficiency Assessment in Kidneys Using Deep Learning. 1165-1169 - Yan Han, Gautam Krishna, Co Tran, Mason Carnahan, Ahmed H. Tewfik:
Robust End-to-End Speaker Verification Using EEG. 1170-1174 - Bernd Accou, Mohammad Jalilpour-Monesi, Jair Montoya-Martínez, Hugo Van hamme, Tom Francart:
Modeling the relationship between acoustic stimulus and EEG with a dilated convolutional neural network. 1175-1179 - Sarah Itani, Dorina Thanou:
A Graph Signal Processing Framework for the Classification of Temporal Brain Data. 1180-1184 - Bertille Met-Montot, Sandie Cabon, Guy Carrault, Fabienne Porée:
Spectrogram-based fundamental frequency tracking of spontaneous cries in preterm newborns. 1185-1189 - Ioanna Miliaresi, Kyriakos Poutos, Aggelos Pikrakis:
Combining acoustic features and medical data in deep learning networks for voice pathology classification. 1190-1194 - Megha Parhi, Ahmed H. Tewfik:
Classifying Imaginary Vowels from Frontal Lobe EEG via Deep Learning. 1195-1199 - Sandie Cabon, Bertille Met-Montot, Fabienne Porée, Olivier Rosec, Antoine Simon, Guy Carrault:
Automatic Extraction of Spontaneous Cries of Preterm Newborns in Neonatal Intensive Care Units. 1200-1204 - Maria Camila Maya-Piedrahita, David Cárdenas-Peña, Álvaro-Ángel Orozco-Gutierrez:
Diagnosis of attention deficit and hyperactivity disorder (ADHD) using Hidden Markov Models. 1205-1209 - Ozlem Karabiber Cura, Mehmet Akif Ozdemir, Aydin Akan:
Epileptic EEG Classification Using Synchrosqueezing Transform with Machine and Deep Learning Techniques. 1210-1214 - Mario Banuelos, Omar DeGuchy, Suzanne Sindi, Roummel F. Marcia:
Related Inference: A Supervised Learning Approach to Detect Signal Variation in Genome Data. 1215-1219 - Haipeng Li, Ramakrishnan Mukundan:
Robust Texture Features For Emphysema Classification In CT Images. 1220-1224 - Karim Armanious, Sherif Abdulatif, Anish Rao Bhaktharaguttu, Thomas Küstner, Tobias Hepp, Sergios Gatidis, Bin Yang:
Organ-Based Chronological Age Estimation Based on 3D MRI Scans. 1225-1228 - Annika Liebgott, Sergios Gatidis, Viet Chau Vu, Tobias Haueise, Konstantin Nikolaou, Bin Yang:
Feature-based Response Prediction to Immunotherapy of late-stage Melanoma Patients Using PET/MR Imaging. 1229-1233 - Kostas Georgiadis, Dimitrios A. Adamos, Spiros Nikolopoulos, Nikos Laskaris, Ioannis Kompatsiaris:
A graph-theoretic sensor-selection scheme for covariance-based Motor Imagery (MI) decoding. 1234-1238 - Amina Ghrissi, Fabien Squara, Johan Montagnat, Vicente Zarzoso:
Identification of Spatiotemporal Dispersion Electrograms in Persistent Atrial Fibrillation Ablation Using Maximal Voltage Absolute Values. 1239-1243 - Manola Ricciuti, Ennio Gambi:
Pupil Diameter Estimation in Visible Light. 1244-1248 - Lucie Lévêque, Philippa Young, Hantao Liu:
Studying the Gaze Patterns of Expert Radiologists in Screening Mammography: A Case Study with Breast Test Wales. 1249-1253 - Fernando Pérez-Bueno, Miguel Vega, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos:
Fully Automatic Blind Color Deconvolution of Histological Images Using Super Gaussians. 1254-1258 - Suzanne Bussod, Juan F. P. J. Abascal, Simon R. Arridge, Andreas Hauptmann, Christine Chappard, Nicolas Ducros, Françoise Peyrin:
Convolutional Neural Network for Material Decomposition in Spectral CT Scans. 1259-1263 - Juan F. P. J. Abascal, Suzanne Bussod, Nicolas Ducros, Salim Si-Mohamed, Philippe Douek, Christine Chappard, Françoise Peyrin:
A residual U-Net network with image prior for 3D image denoising. 1264-1268 - Pim van der Meulen, Mario Coutino, Pieter Kruizinga, Johannes G. Bosch, Geert Leus:
Blind calibration for arrays with an aberration layer in ultrasound imaging. 1269-1273 - Antonio Falvo, Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini:
A Wide Multimodal Dense U-Net for Fast Magnetic Resonance Imaging. 1274-1278 - Carlos Lastre-Domínguez, Oscar Ibarra-Manzano, Jose A. Andrade-Lucio, Yuriy S. Shmaliy:
Denoising ECG Signals Using Unbiased FIR Smoother and Harmonic State-Space Model. 1279-1283 - Herng-Hua Chang, Yu-Hsuan Chao:
Fast Volumetric Registration in MR Images Based on an Accelerated Viscous Fluid Model. 1284-1288 - Shahab Pasha, Jan Lundgren, Christian H. Ritz:
Multi-Channel Electronic Stethoscope for Enhanced Cardiac Auscultation using Beamforming and Equalisation Techniques. 1289-1293 - Théo Leuliet, Louise Friot-Giroux, Walid Baaziz, Élie Bretin, Ovidiu Ersen, Françoise Peyrin, Bruno Sixou, Voichita Maxim:
Efficiency of TV-regularized algorithms in computed tomography with Poisson-Gaussian noise. 1294-1298 - Zeyu Fu, Yang Sun, Xiangyu Zhang, Scott Stainton, Shaun Barney, Jeffry Hogg, William Innes, Satnam Singh Dlay:
MPG-Net: Multi-Prediction Guided Network for Segmentation of Retinal Layers in OCT Images. 1299-1303 - Kamini Upadhyay, Monika Agrawal, Praveen Vashist:
U-Net based Multi-level Texture Suppression for Vessel Segmentation in Low Contrast Regions. 1304-1308 - Giulia Silveri, Marco Merlo, Luca Restivo, Beatrice De Paola, Aleksandar Miladinovic, Milos Ajcevic, Gianfranco Sinagra, Agostino Accardo:
Identification of Ischemic Heart Disease by using machine learning technique based on parameters measuring Heart Rate Variability. 1309-1312 - Arup Kumar Das, Kriti Kumar, Rahul D. Gavas, Dibyanshu Jaiswal, Debatri Chatterjee, Ramesh Kumar Ramakrishnan, M. Girish Chandra, Arpan Pal:
Cognitive Fatigue Detection from EEG Signals using Topological Signal Processing. 1313-1317 - Melissa Spence, Mario Banuelos, Roummel F. Marcia, Suzanne Sindi:
Genomic Signal Processing for Variant Detection in Diploid Parent-Child Trios. 1318-1322 - Julia Demmer, Andreas Kitzig, Gudrun Stockmanns, Edwin Naroska, Reinhard Viga, Anton Grabmaier:
Adaptation of cluster analysis methods to optimize a biomechanical motion model of humans in a nursing bed. 1323-1327 - Michaela Areti Zervou, Effrosyni Doutsi, Pavlos Pavlidis, Panagiotis Tsakalides:
Efficient Dynamic Analysis of Low-similarity Proteins for Structural Class Prediction. 1328-1332 - Javier Conte Alcaraz, Sanam Moghaddamnia, Maxim Penner, Jürgen Peissig:
Monitoring the Rehabilitation Progress Using a DCNN and Kinematic Data for Digital Healthcare. 1333-1337 - Arijit Chowdhury, Taniya Das, Smriti Rani, Anwesha Khasnobish, Tapas Chakravarty:
Activity Recognition using Ultra Wide Band Range-Time Scan. 1338-1342 - S. Galindo-Noreña, David Cárdenas-Peña, Álvaro-Ángel Orozco-Gutierrez:
CSP-based discriminative capacity index from EEG supporting ADHD diagnosis. 1343-1347 - Alex Cazañas-Gordón, Esther Parra-Mora, Luís Alberto da Silva Cruz:
Evaluating Transfer Learning for Macular Fluid Detection with Limited Data. 1348-1352 - Aleksandar Miladinovic, Milos Ajcevic, Pierpaolo Busan, Joanna Jarmolowska, Giulia Silveri, Susanna Mezzarobba, Piero Paolo Battaglini, Agostino Accardo:
Transfer Learning improves MI BCI models classification accuracy in Parkinson's disease patients. 1353-1356 - Debadatta Dash, Paul Ferrari, Jun Wang:
Role of Brainwaves in Neural Speech Decoding. 1357-1361 - Herng-Hua Chang, Shin-Joe Yeh, Ming-Chang Chiang, Sung-Tsang Hsieh:
Automated Brain Extraction and Separation in Triphenyltetrazolium Chloride-Stained Rat Images. 1362-1366 - Barbara Pascal, Vincent Mauduit, Nelly Pustelnik, Patrice Abry:
Scale-free Texture Segmentation: Expert Feature-based versus Deep Learning strategies. 1367-1371 - Zilin Zhang, Yan Li, Meiguo Gao:
Few-Shot Learning of Signal Modulation Recognition based on Attention Relation Network. 1372-1376 - Johannes Vater, Matthias Pollach, Claus Lenz, Daniel Winkle, Alois C. Knoll:
Quality Control and Fault Classification of Laser Welded Hairpins in Electrical Motors. 1377-1381 - Haifa Almutairi, Ghulam Mubashar Hassan, Amitava Datta:
Detection of Obstructive Sleep Apnoea by ECG signals using Deep Learning Architectures. 1382-1386 - Xiaoshuang Wang, Tapani Ristaniemi, Fengyu Cong:
One and Two Dimensional Convolutional Neural Networks for Seizure Detection Using EEG Signals. 1387-1391 - Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas:
Robust Hypersphere-based Weight Imprinting for Few-Shot Learning. 1392-1396 - Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj:
Robust Fast Subclass Discriminant Analysis. 1397-1401 - Monacér da Silva, Jean Charléty, Aurélia Fraysse, Jean-Christophe Pesquet:
A Small-Scale Network for Seismic Patterns Classification. 1402-1406 - Alexander Bartler, Darius Hinderer, Bin Yang:
Grad-LAM: Visualization of Deep Neural Networks for Unsupervised Learning. 1407-1411 - Stylianos I. Mimilakis, Konstantinos Drossos, Gerald Schuller:
Unsupervised Interpretable Representation Learning for Singing Voice Separation. 1412-1416 - Zaccharie Ramzi, Jean-Luc Starck, Thomas Moreau, Philippe Ciuciu:
Wavelets in the Deep Learning Era. 1417-1421 - Hippolyte Dubois, Patrick Le Callet, Michael Hornberger, Hugo J. Spiers, Antoine Coutrot:
Capturing and Explaining Trajectory Singularities using Composite Signal Neural Networks. 1422-1426 - Stephan Tilgner, Daniel Wagner, Kathrin Kalischewski, Jan-Christoph Schmitz, Anton Kummert:
Study on the Influence of Multiple Image Inputs of a Multi-View Fusion Neural Network Based on Grad-CAM and Masked Image Inputs. 1427-1431 - Huynh Van Luong, Boris Joukovsky, Yonina C. Eldar, Nikos Deligiannis:
A Deep-Unfolded Reference-Based RPCA Network For Video Foreground-Background Separation. 1432-1436 - Xiaoyu Miao, Aimin Jiang, Ning Xu:
Gaussian Processes Regression with Joint Learning of Precision Matrix. 1437-1441 - Othmane-Latif Ouabi, Radmila Pribic, Sorin Olaru:
Stochastic Complex-valued Neural Networks for Radar. 1442-1446 - Raffaele Grasso:
Gaussian Process Latent Variable Models Applied to Study Maritime Traffic Patterns from VIIRS Data. 1447-1451 - Masahiro Nakano, Ryohei Shibue, Kunio Kashino, Shingo Tsukada, Hitonobu Tomoike:
Gaussian process with physical laws for 3D cardiac modeling. 1452-1456 - Panagiotis A. Traganitis, Georgios B. Giannakis:
Constrained Clustering using Gaussian Processes. 1457-1461 - Yuhao Liu, Petar M. Djuric:
Gaussian Process State-Space Models with Time-Varying Parameters and Inducing Points. 1462-1466 - Leslie Casas, Attila Klimmek, Nassir Navab, Vasileios Belagiannis:
Adversarial Signal Denoising with Encoder-Decoder Networks. 1467-1471 - Mitsuhiko Horie, Hiroyuki Kasai:
Consistency-aware and Inconsistency-aware Graph-based Multi-view Clustering. 1472-1476 - Felix Wiewel, Bin Yang:
Entropy-based Sample Selection for Online Continual Learning. 1477-1481 - Gaurav N. Shetty, Konstantinos Slavakis, Ukash Nakarmi, Gesualdo Scutari, Leslie Ying:
Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case. 1482-1486 - Muhammad Osama Tarar, Zubair Khalid:
Reconstruction of Finite Rate of Innovation Spherical Signals in the Presence of Noise Using Deep Learning Architecture. 1487-1491 - Ana Neacsu, Kavya Gupta, Jean-Christophe Pesquet, Corneliu Burileanu:
Signal Denoising Using a New Class of Robust Neural Networks. 1492-1496 - Pedro A. Forero, Paul A. Baxley:
Tucker-Regularized Tensor Bregman Co-clustering. 1497-1501 - Vijay Anavangot, Animesh Kumar:
Algorithms for Overpredictive Signal Analytics in Federated Learning. 1502-1506 - Nils Hülsmeier, Moritz Bärthel, Jochen Rust, Steffen Paul:
SORN-based Cascade Support Vector Machine. 1507-1511 - Guillem Boquet, Edwar Macias Toro, Antoni Morell, Javier Serrano, José López Vicario:
Theoretical Tuning of the Autoencoder Bottleneck Layer Dimension: A Mutual Information-based Algorithm. 1512-1516 - Petros Giannakopoulos, Aggelos Pikrakis, Yannis Cotronis:
Neural Discrete Abstraction of High-Dimensional Spaces: A Case Study In Reinforcement Learning. 1517-1521 - Jabran Akhtar:
Training of Neural Network Target Detectors Mentored by SO-CFAR. 1522-1526 - Jen-Tzung Chien, Wei-Lin Liao, Issam El-Naqa:
Exploring State Transition Uncertainty in Variational Reinforcement Learning. 1527-1531 - Youssef Mourchid, Marc Donias, Yannick Berthoumieu:
Automatic Image Colorization based on Multi-Discriminators Generative Adversarial Networks. 1532-1536 - Luong Trung Nguyen, Kwangjin Lee, Byonghyo Shim:
Stochasticity and Skip Connection Improve Knowledge Transfer. 1537-1541 - Helena Aidos, Pedro Tomás:
Neighborhood-aware autoencoder for missing value imputation. 1542-1546 - Guillem Boquet, Edwar Macias Toro, Antoni Morell, Javier Serrano, Enrique Miranda, José López Vicario:
Offline Training for Memristor-based Neural Networks. 1547-1551 - Cédrick Bamba Nsimba, Alexandre L. M. Levada:
Combining Deep and Manifold Learning For Nonlinear Feature Extraction in Texture Images. 1552-1555 - Nikolaos Passalis, Manos Kirtas, George Mourgias-Alexandris, George Dabos, Nikos Pleros, Anastasios Tefas:
Training Noise-Resilient Recurrent Photonic Networks for Financial Time Series Analysis. 1556-1560 - Julien Gérard, Joanna Tomasik, Christèle Morisseau, Arpad Rimmel, Gilles Vieillard:
Micro-Doppler Signal Representation for Drone Classification by Deep Learning. 1561-1565 - Ha Phan Khanh Nguyen, Viet Hung Nguyen, Van Long Do:
A Deep Double-Q Learning-based Scheme for Anti-Jamming Communications. 1566-1570 - Andreas Aßmann, Brian Stewart, Andrew M. Wallace:
Deep Learning for LiDAR Waveforms with Multiple Returns. 1571-1575 - Edwar Macias Toro, Javier Serrano, José López Vicario, Antoni Morell:
Novel Imputation Method Using Average Code from Autoencoders in Clinical Data. 1576-1579 - Jules Rio, Fabien Momey, Christophe Ducottet, Olivier Alata:
WaveNet based architectures for denoising periodic discontinuous signals and application to friction signals. 1580-1584 - Edgar Medina, Roberto Campos, José Gabriel Rodríguez Carneiro Gomes, Mariane R. Petraglia, Antonio Petraglia:
Convolutional Neural Networks for Underwater Pipeline Segmentation using Imperfect Datasets. 1585-1589 - Abdulrahman Takiddin, Muhammad Ismail, Usman Zafar, Erchin Serpedin:
Variational Auto-encoder-based Detection of Electricity Stealth Cyber-attacks in AMI Networks. 1590-1594 - Pascal A. Schirmer, Christian Geiger, Iosif Mporas:
Residential Energy Consumption Prediction Using Inter-Household Energy Data and Socioeconomic Information. 1595-1599 - Philipp Koch, Mark Dreier, Marco Maaß, Huy Phan, Alfred Mertins:
RNN With Stacked Architecture for sEMG based Sequence-to-Sequence Hand Gesture Recognition. 1600-1604 - Seyed Amirhossein Mousavi, Fateme Heidari, Ehsan Tahami, Mahdi Azarnoosh:
Fall detection system via smart phone and send people location. 1605-1607 - Julien Lesouple, Jean-Yves Tourneret:
Incorporating User Feedback Into One-Class Support Vector Machines for Anomaly Detection. 1608-1612 - Jen-Tzung Chien, Chih-Jung Tsai:
Sequential Learning and Regularization in Variational Recurrent Autoencoder. 1613-1617 - Basarbatu Can, Mine Kerpicci, Huseyin Ozkan:
Online Kernel-Based Nonlinear Neyman-Pearson Classification. 1618-1622 - Alireza M. Javid, Xinyue Liang, Mikael Skoglund, Saikat Chatterjee:
Adaptive Learning without Forgetting via Low-Complexity Convex Networks. 1623-1627 - Dror Jacoby, Jonatan Ostrometzky, Hagit Messer:
Short-Term Prediction of the Attenuation in a Commercial Microwave Link Using LSTM-based RNN. 1628-1632 - Elnaz Banan Sadeghian:
A Multiple-Input Multiple-Output Extension of the Mueller and Müller Timing Error Detector. 1633-1637 - Mohammad Soleymani, Ignacio Santamaría, Behrouz Maham, Peter J. Schreier:
Rate Region of the K-user MIMO Interference Channel with Imperfect Transmitters. 1638-1642 - Zeyang Zhang, Michael McGuire, Mihai Sima:
Iterative Channel Estimation for Large Scale MIMO with Highly Quantized Measurements in 5G. 1643-1647 - Vikalp Mandawaria, Ekant Sharma, Rohit Budhiraja:
Spectral Efficiency for Massive MIMO Multi-Relay NOMA Systems with CSI errors. 1648-1652 - Sauradeep Dey, Ekant Sharma, Rohit Budhiraja:
Dynamic Resolution ADC/DAC Massive MIMO FD Relaying system over Correlated Rician Channel. 1653-1657 - George Yammine, Robert F. H. Fischer:
Decision-Feedback Differential Detection with Optimum Detection Order Metric for Noncoherent Massive MIMO Systems. 1658-1662 - Christoph W. Wagner, Sebastian Semper, Florian Römer, Anna Schönfeld, Giovanni Del Galdo:
Hardware Architecture for Ultra-Wideband Channel Impulse Response Measurements Using Compressed Sensing. 1663-1667 - Damián Pascual, Simon Tanner, Mickey Vänskä, Roger Wattenhofer:
A Deep Learning Decoder for Long-Range Communication Systems. 1668-1672 - Kriti Kumar, M. Girish Chandra:
Transform Learning Assisted Graph Signal Processing for Low Rate Electrical Load Disaggregation. 1673-1677 - Arijit Datta, Manekar Tushar Deo, Vimal Bhatia:
Collaborative Learning based Symbol Detection in Massive MIMO. 1678-1682 - Mohammad Jaber, Abbass Nasser, Nour Charara, Ali Mansour, Koffi Clément Yao:
One-Class based learning for Hybrid Spectrum Sensing in Cognitive Radio. 1683-1686 - Marcele O. K. Mendonça, Paulo S. R. Diniz:
OFDM Receiver Using Deep Learning: Redundancy Issues. 1687-1691 - Yao-Shan Hsiao, Mingyu Yang, Hun-Seok Kim:
Super-Resolution Time-of-Arrival Estimation using Neural Networks. 1692-1696 - Mohammad Salimibeni, Zohreh Hajiakhondi-Meybodi, Parvin Malekzadeh, Mohammadamin Atashi, Konstantinos N. Plataniotis, Arash Mohammadi:
IoT-TD: IoT Dataset for Multiple Model BLE-based Indoor Localization/Tracking. 1697-1701 - Mohammadamin Atashi, Parvin Malekzadeh, Mohammad Salimibeni, Zohreh Hajiakhondi-Meybodi, Konstantinos N. Plataniotis, Arash Mohammadi:
Orientation-Matched Multiple Modeling for RSSI-based Indoor Localization via BLE Sensors. 1702-1706 - Noëlie Debs, Théo Jourdan, Ali Moukadem, Antoine Boutet, Carole Frindel:
Motion sensor data anonymization by time-frequency filtering. 1707-1711 - Liu Yang, Yonina C. Eldar, Haifeng Wang, Kai Kang, Hua Qian:
An ADMM-Net for Data Recovery in Wireless Sensor Networks. 1712-1716 - Yang You, Tobias J. Oechtering:
Hidden Markov Model Based Data-driven Calibration of Non-dispersive Infrared Gas Sensor. 1717-1721 - Mahmoud Almasri, Ali Mansour, Christophe Moy, Ammar Assoum, D. Le Jeune, Christophe Osswald:
Managing Single or Multi-Users Channel Allocation for the Priority Cognitive Access. 1722-1726 - Dionysios S. Kalogerias, Mark Eisen, George J. Pappas, Alejandro Ribeiro:
Almost-Zero Duality Gaps in Model-Free Resource Allocation for Wireless Systems. 1727-1731 - Bashar Tahir, Stefan Schwarz, Markus Rupp:
Collision Resilient V2X Communication via Grant-Free NOMA. 1732-1736 - Ehsan Tohidi, David Gesbert, Philippe Ciblat:
Distributed Resource Allocation Algorithms for Multi-Operator Cognitive Communication Systems. 1737-1741 - Anupama Rajoriya, Vidushi Katiyar, Rohit Budhiraja:
User Activity And Data Detection For MIMO Uplink C-RAN Using Bayesian Learning. 1742-1746 - Enrico Testi, Lorenzo Pucci, Elia Favarelli, Andrea Giorgetti:
Blind Traffic Classification in Wireless Networks. 1747-1751 - Roberto López-Valcarce, Marcos Martínez-Cotelo:
Full-Duplex mmWave Communication with Hybrid Precoding and Combining. 1752-1756 - Hamed Nosrati, Elias Aboutanios, David B. Smith:
Online Switch-Based Hybrid Beamforming for Massive MIMO Systems. 1757-1761 - Aya Shehata, Matthieu Crussière, Philippe Mary:
Analysis of Baseband IQ Data Compression Methods for Centralized RAN. 1762-1766 - Damien Muir, Louise H. Crockett, Robert W. Stewart:
Generic Compression of Off-The-Air Radio Frequency Signals with Grouped-Bin FFT Quantisation. 1767-1771 - Mohammad H. Nassralla, Hassan Ayoub, Naeem Akl, Rida Jichi, Mohammad M. Mansour:
Multiplication-Free Detection Algorithm of the Primary Synchronization Signal in LTE. 1772-1776 - Jingjing Pan, Meng Sun, Yide Wang, Xiaofei Zhang:
Near-field source localization of quasi-stationary signals with increased degrees of freedom. 1777-1781 - Alessio Fascista, Angelo Coluccia, Giuseppe Ricci:
Direct Position Estimation of a Mobile Receiver in Multipath Environments via Adaptive Beamforming. 1782-1786 - Zhuyin Li, Andrea Giorgetti, Sithamparanathan Kandeepan:
UAV Mapping for Multiple Primary Users Localization. 1787-1791 - Mingyu Yang, Roger Hsiao, Gordy Carichner, Katherine Ernst, Jaechan Lim, Delbert A. Green II, Inhee Lee, David T. Blaauw, Hun-Seok Kim:
Migrating Monarch Butterfly Localization Using Multi-Modal Sensor Fusion Neural Networks. 1792-1796 - Hoang M. Le, Jean-Pierre Rossi, Dirk T. M. Slock:
A Geometric Interpretation of Trilateration for RSS-based Localization. 1797-1801 - Mohammed H. Alsharif, Mohanad Ahmed, Abdulwahab Felemban, Abdullah Zayat, Ali H. Muqaibel, Mudassir Masood, Tareq Y. Al-Naffouri:
Robust 2d Indoor Positioning Algorithm in the Presence of Non-Line-of-Sight Signals. 1802-1806 - Erik Hagenaars, Ashish Pandharipande, Emmanuel Frimout, Geert Leus:
Sensor commissioning detection in single-pixel thermopile sensing systems. 1807-1811 - Mustafa Atahan Nuhoglu, Yasar Kemal Alp, Aydin Bayri, Hakan Ali Çirpan:
A New Iterative Method for Passive Doppler Geolocation Based on Semi-Definite Programming. 1812-1816 - Timo Huuhtanen, Antti Lankinen, Alexander Jung:
Target Tracking on Sensing Surface with Electrical Impedance Tomography. 1817-1821 - Jinghua Li, Wei Xia:
Beam Coordination Via Diffusion Reduced-Rank Adaptation Over Array Networks. 1822-1826 - Tong Wei, Bin Liao, Peng Xiao, Ziyang Cheng:
Transmit Beampattern Synthesis for MIMO Radar with One-Bit DACs. 1827-1830 - Maaz Mahadi, Tarig Ballal, Muhammad Moinuddin, Tareq Y. Al-Naffouri, Ubaid M. Al-Saggaf:
A Robust LCMP Beamformer with Limited Snapshots. 1831-1835 - Syed A. Hamza, Moeness G. Amin:
Sparse Array Receiver Beamformer Design for Multi-Functional Antenna. 1836-1840 - Robert Pöhlmann, Siwei Zhang, Armin Dammann, Peter A. Hoeher:
Manifold Optimization Based Beamforming for DoA and DoD Estimation with a Single Multi-Mode Antenna. 1841-1845 - Maaz Mahadi, Tarig Ballal, Muhammad Moinuddin, Tareq Y. Al-Naffouri, Ubaid M. Al-Saggaf:
Low-Complexity Robust Beamforming for a Moving Source. 1846-1850 - Ghattas Akkad, Ali Mansour, Bachar El-Hassan, Elie Inaty:
A Multi-Stage Parallel LMS Structure and its Stability Analysis Using Transfer Function Approximation. 1851-1855 - Mikko Laakso, Robin Rajamäki, Risto Wichman, Visa Koivunen:
Phase-coherent multichannel SDR - Sparse array beamforming. 1856-1860 - Alice Delmer, Anne Ferréol, Pascal Larzabal:
L0-Sparse DOA Estimation of Close Sources with Modeling Errors. 1861-1865 - Samuel Fernández-Menduiña, Felix Krahmer, Geert Leus, Ayush Bhandari:
DoA Estimation via Unlimited Sensing. 1866-1870 - Feng Xu, Matthew W. Morency, Sergiy A. Vorobyov:
Tensor Decomposition Based DOA Estimation for Transmit Beamspace MIMO Radar. 1871-1875 - Yu Zhang, Yue Wang, Zhi Tian, Geert Leus, Gong Zhang:
Low-Complexity Gridless 2D Harmonic Retrieval via Decoupled-ANM Covariance Reconstruction. 1876-1880 - Berkan Kiliç, Alper Güngör, Mert Kalfa, Orhan Arikan:
Adaptive Measurement Matrix Design in Compressed Sensing Based Direction of Arrival Estimation. 1881-1885 - Zai Yang, Xunmeng Wu:
Forward-Backward Hankel Matrix Fitting for Spectral Super-Resolution. 1886-1890 - Sertac Arisoy, Nasser M. Nasrabadi, Koray Kayabol:
GAN-based Hyperspectral Anomaly Detection. 1891-1895 - Olivier Flasseur, Loïc Denis, Éric Thiébaut, Maud Langlois:
Finding Meaningful Detections: False Discovery Rate Control in Correlated Detection Maps. 1896-1900 - Anthony McAtear, Ruben Gielen, Nilesh Madhu:
Robust Period Estimation of Automated Cutting Systems by Improved Autocorrelation & Linear Regression Techniques. 1901-1905 - Abdulmajid Lawal, Qadri Mayyala, Azzedine Zerguine, Azeddine Beghdadi:
Salt Dome Detection Using Context-Aware Saliency. 1906-1910 - Alle-Jan van der Veen, Jac Romme, Ye Cui:
Rank Detection Thresholds for Hankel or Toeplitz Data Matrices. 1911-1915 - Shengyin Sun, Jun Liu, Weijian Liu:
Rao Test With Improved Robustness for Range-Spread Target Detection. 1916-1920 - Zouhair Ben Jemaa, Sylvie Marcos, Safya Belghith:
Statistical Approach based Optimization for the Application of Chaotic Sequences to Radar. 1921-1925 - Jun Liu, Jiajun Li, Weijian Liu:
Persymmetric Detection of Subspace Signals Embedded in Subspace Interference and Gaussian Noise. 1926-1930 - Venkata Pathuri Bhuvana, Stefan Schuster, Andreas Och:
Joint Calibration and Tomography based on Separable Least Squares Approach with Constraints on Linear and Non-Linear Parameters. 1931-1935 - Yang Jing, Junli Liang, Sergiy A. Vorobyov, Xuhui Fan, Deyun Zhou:
Joint Design of Radar Transmit Waveform and Mismatched Filter with Low Sidelobes. 1936-1940 - Amir Weiss, Arie Yeredor:
Exact Algebraic Blind Source Separation Using Side Information. 1941-1945 - Xue Jiang, Wen-Jun Zeng, Jiayi Chen, Abdelhak M. Zoubir, Xingzhao Liu:
Blind Equalization Via Polynomial Optimization. 1946-1950 - Christophe Kervazo, Nicolas Gillis, Nicolas Dobigeon:
Successive Nonnegative Projection Algorithm for Linear Quadratic Mixtures. 1951-1955 - Souquières Laura, Cyril Prissette, Sylvain Maire, Nadège Thirion-Moreau:
A parallel strategy for an evolutionary stochastic algorithm: application to the CP decomposition of nonnegative N-th order tensors. 1956-1960 - Sarod Yatawatta:
Polarization-based online interference mitigation in radio interferometry. 1961-1965 - Byeongho Jo, Paul Calamia:
Robust Blind Multichannel Identification based on a Phase Constraint and Different ℓp-norm Constraints. 1966-1970 - Gustaw Mazurek, Rafal Rytel-Andrianik:
Pilot-based calibration of dual-tuner SDR receivers. 1971-1975 - Athanasios A. Rontogiannis, Eleftherios Kofidis, Paris V. Giampouras:
Block-Term Tensor Decomposition: Model Selection and Computation. 1976-1980 - Michael Gerstmair, Martin Gschwandtner, Rainer Findenig, Alexander Melzer, Mario Huemer:
Lego Radar Train - An Educational Workshop on Radar-based Advanced Driver Assistance Systems. 1981-1985 - Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis. 1986-1990 - Cem Ates Musluoglu, Alexander Bertrand:
Distributed Trace Ratio Optimization in Fully-Connected Sensor Networks. 1991-1995 - Saurabh Sahu, Kriti Kumar, Angshul Majumdar, M. Girish Chandra:
Deep Transform Learning for Multi-Sensor Fusion. 1996-2000 - Gordon Morison:
SURE Based Truncated Tensor Nuclear Norm Regularization for Low Rank Tensor Completion. 2001-2005 - Yikai Peng, Peter Jancovic, Martin J. Russell:
Recognition of Actions and Subjects from Inertial and FSR Sensors Attached to Objects. 2006-2010 - Frédéric Champagnat, Cédric Herzet:
Interpolating and translation-invariant approximations of parametric dictionaries. 2011-2015 - Xiaomeng Zheng, Bogdan Dumitrescu, Jiamou Liu, Ciprian Doru Giurcaneanu:
On the Use of Dictionary Learning in Time Series Imputation. 2016-2020 - Firooz Shahriari-Mehr, Javad Parsa, Massoud Babaie-Zadeh, Christian Jutten:
New Dictionary Learning Methods for Two-Dimensional Signals. 2021-2025 - Shayan Aziznejad, Emmanuel Soubies, Michael Unser:
Dictionary Learning with Statistical Sparsity in the Presence of Noise. 2026-2029 - Cheng Cheng, Wei Dai:
Dictionary Learning Using Rank-One Projection. 2030-2034 - Konstantinos A. Voulgaris, Mike E. Davies, Mehrdad Yaghoobi:
DeepMP for Non-Negative Sparse Decomposition. 2035-2039 - Alexandros Gkillas, Dimitris Ampeliotis, Kostas Berberidis:
Fast Sparse Coding Algorithms for Piece-wise Smooth Signals. 2040-2044 - David Luengo, Javier Vía, Tom Trigano:
Efficient Iteratively Reweighted LASSO Algorithm for Cross-Products Penalized Sparse Solutions. 2045-2049 - Dmitrii Kozlov, Peter Ott:
CFAR Detector for Compressed Sensing Radar Based on l1-norm Minimisation. 2050-2054 - Shih-Wei Hu, Gang-Xuan Lin, Chun-Shien Lu:
GPX-ADMM-Net: ADMM-based Neural Network with Generalized Proximal Operator. 2055-2059 - Yuqing Yang, Peng Xiao, Bin Liao, Nikos Deligiannis:
A Robust Deep Unfolded Network for Sparse Signal Recovery from Noisy Binary Measurements. 2060-2064 - Christo Kurisummoottil Thomas, Dirk T. M. Slock:
Generalized Swept Approximate Message Passing based Kalman Filtering for Dynamic Sparse Bayesian Learning. 2065-2069 - Kyohei Suzuki, Masahiro Yukawa:
Robust Jointly-Sparse Signal Recovery Based on Minimax Concave Loss Function. 2070-2074 - Samira Carolina Sánchez El Ryfaie, Miguel Heredia Conde:
Breaking the Limits of Gamma-Ray Spectrometry by Exploiting Sparsity of Photon Arrivals. 2075-2079 - Zalan Fabian, Justin P. Haldar, Richard M. Leahy, Mahdi Soltanolkotabi:
3D Phase Retrieval at Nano-Scale via Accelerated Wirtinger Flow. 2080-2084 - Luis M. Lopez-Ramos, Baltasar Beferull-Lozano:
Online Hyperparameter Search Interleaved with Proximal Parameter Updates. 2085-2089 - Rui Gao, Simo Särkkä:
Augmented Sigma-Point Lagrangian Splitting Method for Sparse Nonlinear State Estimation. 2090-2094 - Sulaiman A. Alghunaim, Ming Yan, Ali H. Sayed:
A Multi-Agent Primal-Dual Strategy for Composite Optimization over Distributed Features. 2095-2099 - Reinhard Panhuber, Ludger Prünte:
Step Size Determination for Finding Low-Rank Solutions Via Non-Convex Bi-Factored Matrix Factorization. 2100-2104 - Keita Kume, Isao Yamada:
A Nesterov-type Acceleration with Adaptive Localized Cayley Parametrization for Optimization over the Stiefel Manifold. 2105-2109 - Qiongxiu Li, Richard Heusdens, Mads Græsbøll Christensen:
Convex optimization-based Privacy-Preserving Distributed Least Squares via Subspace Perturbation. 2110-2114 - Metin Calis, Richard Heusdens, Richard C. Hendriks:
A Privacy-Preserving Asynchronous Averaging Algorithm based on State Decomposition. 2115-2119 - Patrick L. Combettes, Zev Woodstock:
A Fixed Point Framework for Recovering Signals from Nonlinear Transformations. 2120-2124 - Xiulin Wang, Wenya Liu, Fengyu Cong, Tapani Ristaniemi:
Group Nonnegative Matrix Factorization with Sparse Regularization in Multi-set Data. 2125-2129 - Andrea Simonetto:
Smooth Strongly Convex Regression. 2130-2134 - Marco Maaß, Christine Droigk, Fabrice Katzberg, Philipp Koch, Alfred Mertins:
A Recovery Algorithm based on the Kaczmarz Algorithm and ADMM Splitting with Application to Convex Optimization in Magnetic Particle Imaging. 2135-2139 - Marion Savanier, Emilie Chouzenoux, Jean-Christophe Pesquet, Cyril Riddell, Yves Trousset:
Proximal Gradient Algorithm in the Presence of Adjoint Mismatch. 2140-2144 - Bianca Iancu, Elvin Isufi:
Towards Finite-Time Consensus with Graph Convolutional Neural Networks. 2145-2149 - Hong-Ming Chiu, Carrson C. Fung, Antonio Ortega:
Graph Learning and Augmentation Based Interpolation of Signal Strength for Location-Aware Communications. 2150-2154 - Qiongxiu Li, Mario Coutino, Geert Leus, Mads Græsbøll Christensen:
Privacy-Preserving Distributed Graph Filtering. 2155-2159 - Antoine Mazarguil, Laurent Oudre, Nicolas Vayatis:
Localized Interpolation for Graph Signals. 2160-2164 - Aimin Jiang, Weigao Cheng, Jing Shang, Xiaoyu Miao, Yanping Zhu:
Graph Regularized Subspace Clustering via Low-Rank Decomposition. 2165-2169 - Virginia Bordignon, Vincenzo Matta, Ali H. Sayed:
Adaptation in Online Social Learning. 2170-2174 - Daniel G. Tiglea, Renato Candido, Magno T. M. Silva:
A Sampling Algorithm for Diffusion Networks. 2175-2179 - Cristiano Gratton, Naveen K. D. Venkategowda, Reza Arablouei, Stefan Werner:
Distributed Learning with Non-Smooth Objective Functions. 2180-2184 - Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee:
Learning without Forgetting for Decentralized Neural Nets with Low Communication Overhead. 2185-2189 - Mircea Moscu, Ricardo Augusto Borsoi, Cédric Richard:
Online Kernel-Based Graph Topology Identification with Partial-Derivative-Imposed Sparsity. 2190-2194 - Hesam Araghi, Massoud Babaie-Zadeh, Sophie Achard:
Dynamic K-Graphs: an Algorithm for Dynamic Graph Learning and Temporal Graph Signal Clustering. 2195-2199 - Dominique Fourer, François Auger:
Second-Order Horizontal Synchrosqueezing of the S-transform: a Specific Wavelet Case Study. 2200-2204 - Vincent Lostanlen, Alice Cohen-Hadria, Juan Pablo Bello:
One or Two Frequencies? The Scattering Transform Answers. 2205-2209 - Erik M. Månsson, Maria Sandsten:
The Smoothed Reassigned Spectrogram for Robust Energy Estimation. 2210-2214 - Jesús Rodríguez-Camacho, David Blanco-Navarro, Juan Francisco Gómez-Lopera, Maria Carmen Carrion Perez:
Application of the Singular Spectrum Analysis to the time variations of the amplitude of Schumann resonance measurements. 2215-2219 - Harald Bârzan, Vasile V. Moca, Ana-Maria Ichim, Raul Cristian Muresan:
Fractional Superlets. 2220-2224 - Antonio Dávalos, Meryem Jabloun, Philippe Ravier, Olivier Buttelli:
On the Deterministic Estimaton of Multiscale Permutation Entropy of High-Order Autoregressive-Moving-Average Processes as a Function of ARMA Parameters. 2225-2229 - Matthias Bächle, Maximilian Schambach, Fernando Puente León:
Signal-Adapted Analytic Wavelet Packets in Arbitrary Dimensions. 2230-2234 - Rafael Alves da Costa, Marcio Eisencraft:
Chaotic signals representation and spectral characterization using linear discrete-time filters. 2235-2238 - Reto A. Wildhaber, Elizabeth Ren, Frédéric Waldmann, Hans-Andrea Loeliger:
Signal Analysis Using Local Polynomial Approximations. 2239-2243 - Andrzej Tarczynski, Hikmat Y. Darawsheh:
DASP Implementation of Continuous-Time, Finite-Impulse-Response Systems. 2244-2248 - Kun Zhang, Shuang Cong, Yaru Tang, Nikolaos M. Freris:
An Efficient Online Estimation Algorithm for Evolving Quantum States. 2249-2253 - Jaakko Astola, Yrjö Neuvo, Corneliu Rusu:
On Two-Dimensional Polynomial Predictors. 2254-2258 - Hiroki Kuroda, Jun Ogata:
Piecewise Linear Regression under Noise Level Variation via Convex Optimization. 2259-2263 - Fraser K. Coutts, John S. Thompson, Bernard Mulgrew:
Gradient of Mutual Information in Linear Vector Gaussian Channels in the Presence of Input Noise. 2264-2268 - Andreas Jansson, Filip Elvander, Peter Almers, Andreas Jakobsson:
Range-based Radar Model Structure Selection. 2269-2273 - Soo-Chang Pei, Kuo-Wei Chang:
Arbitrary Length Reducible and Irreducible Perfect Gaussian Integer Sequences with A Pre-Given Gaussian Integer. 2274-2278 - Albertus C. den Brinker:
Controlled accuracy for discrete Chebyshev polynomials. 2279-2283 - Tin Vlasic, Damir Sersic:
Sub-Nyquist Sampling in Shift-Invariant Spaces. 2284-2288 - Tomoya Nishida, Natsuki Ueno, Shoichi Koyama, Hiroshi Saruwatari:
Sensor placement in arbitrarily restricted region for field estimation based on Gaussian process. 2289-2293 - Evangelos Piliouras, Taous-Meriem Laleg-Kirati:
Quantum-based interval selection of the Semi-classical Signal Analysis method. 2294-2298 - Neha Jain, Nir Shlezinger, Yonina C. Eldar, Anubha Gupta, Vivek Ashok Bohara:
Energy Harvesting via Analog-to-Digital Conversion. 2299-2303 - Marek Hilton, Roxana Alexandru, Pier Luigi Dragotti:
Time Encoding Using the Hyperbolic Secant Kernel. 2304-2308 - Cornelius Frankenbach, Pablo Martínez-Nuevo, Martin Bo Møller, Walter Kellermann:
Extrapolation of Bandlimited Multidimensional Signals from Continuous Measurements. 2309-2313 - Vincent Bouis, Felix Krahmer, Ayush Bhandari:
Multidimensional Unlimited Sampling: A Geometrical Perspective. 2314-2318 - Stephan Weiss, Jesus Selva, Malcolm D. Macleod:
Measuring Smoothness of Trigonometric Interpolation Through Incomplete Sample Points. 2319-2323 - Gerald D. Cain, Anush Yardim, Fredric J. Harris:
Complex FIR Digital Filter Sharpening With Three-Path Structures. 2324-2328 - Gerald D. Cain, Anush Yardim, Fredric J. Harris:
Robust IIR Digital Filter Sharpening. 2329-2333 - Shin'ichi Koike:
Least Mean Square Nonlinear Regressor Algorithm. 2334-2337 - Yuanyuan Ren, Wei Xia:
Distributed Extended Object Tracking Based on Diffusion Strategy. 2338-2342 - Konstantinos Bountrogiannis, George Tzagkarakis, Panagiotis Tsakalides:
Data-driven Kernel-based Probabilistic SAX for Time Series Dimensionality Reduction. 2343-2347 - Adam Borowicz:
Improving Energy Compaction of Adaptive Fourier Decomposition. 2348-2352 - Haoyuan Cai, Maboud F. Kaloorazi, Jie Chen, Wei Chen, Cédric Richard:
Online Dominant Generalized Eigenvectors Extraction Via A Randomized Method. 2353-2357 - Samuel Thé, Éric Thiébaut, Loïc Denis, Ferréol Soulez:
Exploiting the scaling indetermination of bi-linear models in inverse problems. 2358-2362 - Ghattas Akkad, Ali Mansour, Bachar El-Hassan, Elie Inaty, Rafic Ayoubi:
Two Stages Parallel LMS Structure: A Pipelined Hardware Architecture. 2363-2367 - Antonio Napolitano:
Aircraft Acoustic Signal Modeled as Oscillatory Almost-Cyclostationary Process. 2368-2372 - Fernando Llorente, Luca Martino, David Delgado-Gómez, Javier López-Santiago:
On the computation of marginal likelihood via MCMC for model selection and hypothesis testing. 2373-2377 - Yousef El-Laham, Liu Yang, Petar M. Djuric, Mónica F. Bugallo:
Particle Filtering Under General Regime Switching. 2378-2382 - Alberto Carini, Markus V. S. Lima, Hamed Yazdanpanah, Simone Orcioni, Stefania Cecchi:
A Variable Step-Size for Sparse Nonlinear Adaptive Filters. 2383-2387 - Payam Shahsavari Baboukani, Carina Graversen, Jan Østergaard:
Estimation of Directed Dependencies in Time Series Using Conditional Mutual Information and Non-linear Prediction. 2388-2392 - George Tzagkarakis, Frantz Maurer, Thomas Dionysopoulos:
Nonparametric Adaptive Value-at-Risk Quantification Based on the Multiscale Energy Distribution of Asset Returns. 2393-2397 - Konstantinos Bountrogiannis, George Tzagkarakis, Panagiotis Tsakalides:
Anomaly Detection for Symbolic Time Series Representations of Reduced Dimensionality. 2398-2402 - Bastien Berthelot, Éric Grivel, Pierrick Legrand, Jean-Marc André, Patrick Mazoyer:
Regularized DFA to study the gaze position of an airline pilot. 2403-2407 - Karen Uribe-Murcia, Jose A. Andrade-Lucio, Yuriy S. Shmaliy, Yuan Xu:
Unbiased FIR Filtering under Bernoulli-Distributed Binary Randomly Delayed and Missing Data. 2408-2412 - Quentin Legros, Steve McLaughlin, Yoann Altmann, Sylvain Meignen:
Stochastic EM algorithm for fast analysis of single waveform multi-spectral Lidar data. 2413-2417 - Bruno Mériaux, Chengfang Ren, Arnaud Breloy, Mohammed Nabil El Korso, Philippe Forster:
Efficient Estimation of Kronecker Product of Linear Structured Scatter Matrices under t-distribution. 2418-2422 - Daichi Kitahara, Ke Leng, Yuji Tezuka, Akira Hirabayashi:
Simultaneous Spline Quantile Regression Under Shape Constraints. 2423-2427 - Daniel Egea-Roca, José A. Lopez-Salcedo, Gonzalo Seco-Granados, Wim De Wilde:
Generalized ANOVA Test for GNSS Spoofing Detection with a Dual-Polarized Antenna. 2428-2432 - Gökhan Gül, Michael Baßler:
Fast Multilevel Quantization for Distributed Detection Based on Gaussian Approximation. 2433-2437 - Dominik Reinhard, Abdelhak M. Zoubir:
Distributed Sequential Joint Detection and Estimation for non-Gaussian Noise. 2438-2442 - Stefano Fortunati, Alexandre Renaux, Frédéric Pascal:
Properties of a new R-estimator of shape matrices. 2443-2447 - Violeta Roizman, Matthieu Jonckheere, Frédéric Pascal:
Robust clustering and outlier rejection using the Mahalanobis distance distribution. 2448-2452 - Emadaldin Mozafari-Majd, Visa Koivunen:
Robust variable selection and distributed inference using τ-based estimators for large-scale data. 2453-2457 - Jean-Baptiste Courbot, Vincent Mazet:
Pairwise and Hidden Markov Random Fields in Image Segmentation. 2458-2462 - Dan Yao, Yoann Altmann, Steve McLaughlin, Mike E. Davies:
Joint Robust Linear Regression and Anomaly Detection in Poisson noise using Expectation-Propagation. 2463-2467 - Sara Pérez-Vieites, Joaquín Míguez:
Kalman-based nested hybrid filters for recursive inference in state-space models. 2468-2472 - Efstratios Kakaletsis, Ioannis Mademlis, Nikos Nikolaidis, Ioannis Pitas:
Bayesian Fusion of Multiview Human Crowd Detections for Autonomous UAV Fleet Safety. 2473-2477 - Jimmy Bondu, Éric Grivel, Audrey Giremus, Pierrick Legrand, Vincent Corretja, Marie Pommier:
Sea Target Classification Based on An A Priori Motion Model. 2478-2482
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