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ORCID32nd MLSP 2022: Xi'an, China
- 32nd IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2022, Xi'an, China, August 22-25, 2022. IEEE 2022, ISBN 978-1-6654-8547-0
- Yu Gao, Huaijun Wang, Xin Zhao, Junhuai Li, Facun Zhang:
Hand Tremor Recognition Based on RFID Doppler Frequency Shift Signal. 1-6 - Gary C. F. Lee, Amir Weiss, Alejandro Lancho, Jennifer Tang, Yuheng Bu
, Yury Polyanskiy, Gregory W. Wornell:
Exploiting Temporal Structures of Cyclostationary Signals for Data-Driven Single-Channel Source Separation. 1-6 - Jules Mabon, Mathias Ortner, Josiane Zerubia:
CNN-Based Energy Learning for MPP Object Detection in Satellite Images. 1-6 - Yi Yu, Hongsen He, Rodrigo C. de Lamare, Badong Chen:
General Robust Subband Adaptive Filtering for Echo Cancellation. 1-5 - Dionysios Karamouzas, Ioannis Mademlis, Ioannis Pitas:
Neural Knowledge Transfer for Sentiment Analysis in Texts with Figurative Language. 1-6 - Byoungwook Jang, Julia Nepper, Marc G. Chevrette, Jo Handelsman, Alfred O. Hero III:
High Dimensional Stochastic Linear Contextual Bandit with Missing Covariates. 1-6 - Zihao Zhang, Peng Cai, Minglin Shen, Gangyi Huang, Shiyuan Wang:
Geometric Algebra Adaptive Filter Based on Multi-Dimensional Complex-Valued Random Fourier Features. 1-6 - Qiangqiang Zhang, Dongyuan Lin, Shanmou Chen, Shiyuan Wang:
Event-Triggered Quantized Kernel Least Mean Square Algorithm. 1-6 - Tianming Qiu, Ming Gui, Cheng Yan, Ziqing Zhao, Hao Shen:
SVIT: Hybrid Vision Transformer Models with Scattering Transform. 1-6 - Long Shi, Yunchen Yang:
Adaptive Convex Combination of Kernel Maximum Correntropy Criterion. 1-6 - Ivana Nikoloska, Osvaldo Simeone:
Quantum-Aided Meta-Learning for Bayesian Binary Neural Networks via Born Machines. 1-6 - Anoushka Banerjee, Dileep Aroor Dinesh, Arnav Bhavsar:
Fine Grained Few-Shot Classification with Contrastive Clues. 1-6 - Abudukelimu Wuerkaixi, You Zhang, Zhiyao Duan, Changshui Zhang:
Rethinking Audio-Visual Synchronization for Active Speaker Detection. 1-6 - Dongqi Luo, Jihong Zhu:
Radar Target Detection in Strong Clutter Using Spatial-Temporal U-NET. 1-6 - Shengyang Luan, Jiayuan Li, Wei Chen, Jiacheng Zhang, Tao Liu, Bing Lv:
MMCC-Music: A Robust Direction of Arrival Estimator based On Maximum Mixture Correntropy Criterion Under Alpha-Stable Distributed Noise. 1-6 - Yuval Ben-Hur, Yuval Cassuto, Israel Cohen:
Regression with an Ensemble of Noisy Base Functions. 1-6 - Wei Gao, Yi Xu, Jie Chen, Cédric Richard:
Transient Analysis of Diffusion Recursive Least Squares via Signed Error Algorithm for Cyclostationary Colored Inputs. 1-6 - Goutam Kumar Sahoo, Keerthana Kanike, Santos Kumar Das, Poonam Singh:
Machine Learning-Based Heart Disease Prediction: A Study for Home Personalized Care. 1-6 - Zhuoyue Wang, Flávio R. M. Pavan, Ali H. Sayed:
Decentralized GAN Training Through Diffusion Learning. 1-6 - Hrishikesh Tiwary, Piyus Rout, Arnav Bhavsar:
Deep Learning with Spatial and Channel Attention for Epileptic Seizure Type Classification Using Frequency Characterization. 1-6 - Alvaro Velasquez, Ismail R. Alkhouri, Brett Bissey, Lior Barak, George K. Atia:
The Minimum Value State Problem in Actor-Critic Networks. 1-7 - Kyohei Suzuki, Masahiro Yukawa:
Sparse Stable Outlier-Robust Regression with Minimax Concave Function. 1-6 - Dhananjay Bhaskar, Jackson D. Grady, Egbert Castro, Michael Perlmutter, Smita Krishnaswamy:
Molecular Graph Generation via Geometric Scattering. 1-6 - Jessie Huang, Erica L. Busch, Tom Wallenstein, Michal Gerasimiuk, Andrew Benz, Guillaume Lajoie, Guy Wolf, Nicholas B. Turk-Browne, Smita Krishnaswamy:
Learning Shared Neural Manifolds from Multi-Subject FMRI Data. 1-6 - Austin Goddard, Yu Xiang, Ilya Soloveychik:
Lower Bounds on the Error Probability for Invariant Causal Prediction. 1-6 - Yiping Duan, Mingzhe Li, Lijia Wen, Qianqian Yang, Xiaoming Tao:
From Object-Attribute-Relation Semantic Representation to Video Generation: A Multiple Variational Autoencoder Approach. 1-6 - Houssem Sifaou, Geoffrey Ye Li:
Robust Federated Learning via Over-the-Air Computation. 1-6 - Meng Cui, Xubo Liu, Jinzheng Zhao, Jianyuan Sun, Guoping Lian, Tao Chen, Mark D. Plumbley, Daoliang Li, Wenwu Wang:
Fish Feeding Intensity Assessment in Aquaculture: A New Audio Dataset AFFIA3K and a Deep Learning Algorithm. 1-6 - Camilo Aguilar, Mathias Ortner, Josiane Zerubia:
Adaptive Birth for the GLMB Filter for Object Tracking in Satellite Videos. 1-6 - Xiaoshuang Wang, Tommi Kärkkäinen, Fengyu Cong:
Seizure Prediction Using EEG Channel Selection Method. 1-6 - Abdullah Burak Acar, Elif Vural:
Learning Time-Vertex Dictionaries for Estimating Time-Varying Graph Signals. 1-6 - Xinbo Wu, Alexandru Hanganu, Ayuko Hoshino, Lav R. Varshney:
Source Identification for Exosomal Communication via Protein Language Models. 1-6 - Xinyi Zhang, Chenxu Zhao, Yun Yang, Zhidi Lin, Juntao Wang, Feng Yin:
Adaptive Gaussian Process Spectral Kernel Learning for 5G Wireless Traffic Prediction. 1-6 - Jiawei Yang, Sylwan Rahardja, Susanto Rahardja:
Click Fraud Detection: HK-Index for Feature Extraction from Variable-Length Time Series of User Behavior. 1-6 - Cristian J. Vaca-Rubio, Roberto Pereira, Xavier Mestre, David Gregoratti, Zheng-Hua Tan, Elisabeth de Carvalho, Petar Popovski:
Floor Map Reconstruction Through Radio Sensing and Learning by a Large Intelligent Surface. 1-6 - Thuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron:
Joint Covariate-Alignment and Concept-Alignment: A Framework for Domain Generalization. 1-6 - Philippe Flores, Guillaume Harlé, Anne-Béatrice Notarantonio, Konstantin Usevich, Maud D'Aveni, Stephanie Grandemange, Marie-Thérèse Rubio, David Brie:
Coupled Tensor Factorization for Flow Cytometry Data Analysis. 1-6 - Yihang Jiang, Hongqing Liu, Yi Zhou, Zhen Luo:
An Integration Development of Traditional Algorithm and Neural Network for Active Noise Cancellation. 1-6 - Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj:
Self-Attention Neural Bag-of-Features. 1-6 - Ismail R. Alkhouri, Alvaro Velasquez, George K. Atia:
BOSS: Bidirectional One-Shot Synthesis of Adversarial Examples. 1-6 - Ismail R. Alkhouri, George K. Atia, Alvaro Velasquez:
A Differentiable Approach to the Maximum Independent Set Problem Using Graph-Based Neural Network Structures. 1-6 - Yunhuan Li, Xi Yu, Shujian Yu, Badong Chen:
Adversarial Training for the Adversarial Robustness of EEG-Based Brain-Computer Interfaces. 1-6 - Yimeng Zhang, Fengyu Wang, Wenjun Xu, Chenyao Liu:
Semantic Communications: A New Paradigm for Networked Intelligence. 1-6 - Alexandros Zamichos, Vasileios Mygdalis, Ioannis Pitas:
Properties of Learning Multiplicative Universal Adversarial Perturbations in Image Data. 1-6 - Abdullah Canbolat, Elif Vural:
Estimation of Locally Stationary Graph Processes from Incomplete Realizations. 1-6 - Linruize Tang, Longbin Yan, Jie Chen:
DB-GAN: A Low Contrast Image Enhancer Based on NIR-RGB Fusion. 1-6 - Peng Yi, Yang Cao, Jingren Xu, Ying-Chang Liang:
Semantic Communication for Remote Spectrum Sensing in Non-Terrestrial Networks. 1-6 - Peiwen Jiang, Chao-Kai Wen, Shi Jin:
Adaptive Semantic Video Conferencing for OFDM Systems. 1-6 - Jiapeng Li, Yuxuan Hu, Wei Liu, Ming Ye, Feng Chen:
Multi-Patches Cooperative Point Cloud Denoising Algorithm Based on Locally Linear Embedding. 1-6 - Mingfei Lu, Badong Chen:
Orthogonal Maximum Correntropy Learning. 1-6 - Yudan Wang, Yue Wang, Yi Zhou, Alvaro Velasquez, Shaofeng Zou:
Data-Driven Robust Multi-Agent Reinforcement Learning. 1-6 - Yijei Zhao, Benoît Champagne:
An Efficient Transformer-Based Model for Voice Activity Detection. 1-6 - Cheng-Yen Hsieh, Yu-Chuan Chuang, An-Yeu Wu:
C3-SL: Circular Convolution-Based Batch-Wise Compression for Communication-Efficient Split Learning. 1-6 - Yeting Gu, Linhui Cai, Junfan Wang, Yi Chen, Ping Zhu, Mingyu Gao:
Chinese Dish Detection Based on Dish-YOLOv5. 1-6 - Amir Weiss, Toros Arikan, Gregory W. Wornell:
Direct Localization in Underwater Acoustics Via Convolutional Neural Networks: A Data-Driven Approach. 1-6 - Osman Furkan Kar, Gülce Turhan, Elif Vural:
Learning Graph Signal Representations with Narrowband Spectral Kernels. 1-6 - Kyohei Suzuki, Masahiro Yukawa:
On Grouping Effect of Sparse Stable Outlier-Robust Regression. 1-6 - Yuzhi Yang, Zhaoyang Zhang, Zhaohui Yang:
Over-the-Air Split Learning with MIMO-Based Neural Network and Constellation-Based Activation. 1-6 - Md Abdur Rahaman, Yash Garg, Armin Iraji, Zening Fu, Jiayu Chen, Vince D. Calhoun:
Two-Dimensional Attentive Fusion for Multi-Modal Learning of Neuroimaging and Genomics Data. 1-6 - Jon Berezowski, Thomas Haugland Johansen, Jonas Nordhaug Myhre, Fred Godtliebsen:
Variable Depth Bayesian Neural Networks Using Reversible Jumps. 1-6 - Rui Jian Chu, Noël Richard, Hermine Chatoux, Susanto Rahardja:
Hyperspectral Gradient Analysis: A First Study. 1-7 - Subhro Das:
An Alternative Approach for Distributed Parameter Estimation Under Gaussian Settings. 1-6
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