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ORCID12. LVA/ICA 2015: Liberec, Czech Republic
- Emmanuel Vincent, Arie Yeredor, Zbynek Koldovský
, Petr Tichavský:
Latent Variable Analysis and Signal Separation - 12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings. Lecture Notes in Computer Science 9237, Springer 2015, ISBN 978-3-319-22481-7
Tensor-Based Methods for Blind Signal Separation
- Otto Debals, Lieven De Lathauwer:
Stochastic and Deterministic Tensorization for Blind Signal Separation. 3-13 - Philippe Dreesen, Thomas Goossens, Mariya Ishteva, Lieven De Lathauwer, Johan Schoukens:
Block-Decoupling Multivariate Polynomials Using the Tensor Block-Term Decomposition. 14-21 - Pierre Comon, Yang Qi, Konstantin Usevich:
A Polynomial Formulation for Joint Decomposition of Symmetric Tensors of Different Orders. 22-30 - Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
Rank Splitting for CANDECOMP/PARAFAC. 31-40 - Sebastian Miron, David Brie:
Some Rank Conditions for the Identifiability of the Sparse Paralind Model. 41-48 - Mariya Ishteva:
Tensors and Latent Variable Models. 49-55 - Samaneh Kouchaki, Saeid Sanei:
Tensor Factorisation Approach for Separation of Convolutive Complex Communication Signals. 56-63 - Jianshu Zhang, Ahmad Nimr, Kristina Naskovska, Martin Haardt:
Enhanced Tensor Based Semi-blind Estimation Algorithm for Relay-Assisted MIMO Systems. 64-72
Deep Neural Networks for Supervised Speech Separation/Enhancement
- Tian Gao, Jun Du, Yong Xu, Cong Liu, Li-Rong Dai, Chin-Hui Lee:
Improving Deep Neural Network Based Speech Enhancement in Low SNR Environments. 75-82 - Jitong Chen, Yuxuan Wang, DeLiang Wang:
Noise Perturbation Improves Supervised Speech Separation. 83-90 - Felix Weninger, Hakan Erdogan, Shinji Watanabe, Emmanuel Vincent, Jonathan Le Roux, John R. Hershey, Björn W. Schuller:
Speech Enhancement with LSTM Recurrent Neural Networks and its Application to Noise-Robust ASR. 91-99 - Minje Kim, Paris Smaragdis:
Adaptive Denoising Autoencoders: A Fine-Tuning Scheme to Learn from Test Mixtures. 100-107
Joint Analysis of Multiple Datasets, Data Fusion, and Related Topics
- Dana Lahat, Christian Jutten:
Joint Independent Subspace Analysis: A Quasi-Newton Algorithm. 111-118 - Rodrigo Cabral Farias, Jeremy Emile Cohen, Christian Jutten, Pierre Comon:
Joint Decompositions with Flexible Couplings. 119-126 - Ofir Lindenbaum, Arie Yeredor, Moshe Salhov:
Learning Coupled Embedding Using MultiView Diffusion Maps. 127-134 - Antoine Liutkus, Umut Simsekli, A. Taylan Cemgil:
Extraction of Temporal Patterns in Multi-rate and Multi-modal Datasets. 135-142 - Israel D. Gebru, Sileye O. Ba, Georgios D. Evangelidis, Radu Horaud:
Audio-Visual Speech-Turn Detection and Tracking. 143-151
Advances in Nonlinear Blind Source Separation
- Yannick Deville, Leonardo Tomazeli Duarte:
An Overview of Blind Source Separation Methods for Linear-Quadratic and Post-nonlinear Mixtures. 155-167 - Ivica Kopriva, Sanja Kapitanovic, Tamara Cacev:
Nonlinear Sparse Component Analysis with a Reference: Variable Selection in Genomics and Proteomics. 168-175 - Leonardo Tomazeli Duarte, Filipe de Oliveira Pereira, Romis Attux, Ricardo Suyama, João M. T. Romano:
Source Separation in Post-nonlinear Mixtures by Means of Monotonic Networks. 176-183 - Yannick Deville, Alain Deville:
From Blind Quantum Source Separation to Blind Quantum Process Tomography. 184-192 - Bahram Ehsandoust, Massoud Babaie-Zadeh, Christian Jutten:
Blind Source Separation in Nonlinear Mixture for Colored Sources Using Signal Derivatives. 193-200
Sparse and Low-Rank Modeling for Acoustic Signal Processing
- Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot:
A Study on Manifolds of Acoustic Responses. 203-210 - Jian Guan, Jing Dong, Xuan Wang, Wenwu Wang:
A Polynomial Dictionary Learning Method for Acoustic Impulse Response Modeling. 211-218 - Zbynek Koldovský, Jakub Janský, Francesco Nesta:
A Local Model of Relative Transfer Functions Involving Sparsity. 219-226 - Zbynek Koldovský, Jirí Málek, Petr Tichavský:
Improving Relative Transfer Function Estimates Using Second-Order Cone Programming. 227-234 - Ivan Markovsky:
System Identification in the Behavioral Setting - A Structured Low-Rank Approximation Approach. 235-242 - Srdan Kitic, Nancy Bertin, Rémi Gribonval:
Sparsity and Cosparsity for Audio Declipping: A Flexible Non-convex Approach. 243-250 - Çagdas Bilen, Alexey Ozerov, Patrick Pérez:
Joint Audio Inpainting and Source Separation. 251-258 - Pablo Sprechmann, Joan Bruna, Yann LeCun:
Audio Source Separation with Discriminative Scattering Networks. 259-267
Theory
- Milad Niknejad, Mostafa Sadeghi, Massoud Babaie-Zadeh, Hossein Rabbani, Christian Jutten:
A Dictionary Learning Method for Sparse Representation Using a Homotopy Approach. 271-278 - Xian Wei, Martin Kleinsteuber, Hao Shen:
Invertible Nonlinear Dimensionality Reduction via Joint Dictionary Learning. 279-286 - Ken Takano, Hideitsu Hino, Yuki Yoshikawa, Noboru Murata:
Patchworking Multiple Pairwise Distances for Learning with Distance Matrices. 287-294 - Clemens Hage, Martin Kleinsteuber:
Robust Structured Low-Rank Approximation on the Grassmannian. 295-303 - Petr Tichavský, Ondrej Sembera, Zbynek Koldovský:
Blind Separation of Mixtures of Piecewise AR(1) Processes and Model Mismatch. 304-311 - David Felice Falivene Baptista, Rafael A. Ando, Leonardo Tomazeli Duarte, Christian Jutten, Romis Ribeiro Faissol Attux:
Theoretical Studies and Algorithms Regarding the Solution of Non-invertible Nonlinear Source Separation. 312-319 - Hao Shen, Martin Kleinsteuber:
A Block-Jacobi Algorithm for Non-Symmetric Joint Diagonalization of Matrices. 320-327 - Pauliina Ilmonen, Klaus Nordhausen, Hannu Oja, Fabian J. Theis:
An Affine Equivariant Robust Second-Order BSS Method. 328-335 - Tianwen Wei:
An Overview of the Asymptotic Performance of the Family of the FastICA Algorithms. 336-343 - Sajad Daei, Massoud Babaie-Zadeh, Christian Jutten:
A MAP-Based Order Estimation Procedure for Sparse Channel Estimation. 344-351 - Ondrej Tichý, Václav Smídl:
Bayesian Blind Source Separation with Unknown Prior Covariance. 352-359 - Stéphane Chrétien, Tianwen Wei:
Convex Recovery of Tensors Using Nuclear Norm Penalization. 360-367 - Hideitsu Hino:
Linear Discriminant Analysis with Adherent Regularization. 368-375 - Robert Chreiky, Gilles Delmaire, Matthieu Puigt, Gilles Roussel, Dominique Courcot, Antoine Abche:
Split Gradient Method for Informed Non-negative Matrix Factorization. 376-383
Audio Applications
- Nobutaka Ono, Zafar Rafii, Daichi Kitamura, Nobutaka Ito, Antoine Liutkus:
The 2015 Signal Separation Evaluation Campaign. 387-395 - Affan Hasan Khan, Maja Taseska, Emanuël A. P. Habets:
A Geometrically Constrained Independent Vector Analysis Algorithm for Online Source Extraction. 396-403 - Francesco Nesta, Trausti Thormundsson, Zbynek Koldovský:
On-line Multichannel Estimation of Source Spectral Dominance. 404-412 - Julian Mathias Becker, Christian Rohlfing:
Component-Adaptive Priors for NMF. 413-420 - Shigeki Miyabe, Nobutaka Ono, Shoji Makino:
Estimating Correlation Coefficient Between Two Complex Signals Without Phase Observation. 421-428 - Andrew J. R. Simpson, Gerard Roma, Mark D. Plumbley:
Deep Karaoke: Extracting Vocals from Musical Mixtures Using a Convolutional Deep Neural Network. 429-436 - Stanislaw Gorlow, Jordi Janer:
Evaluation of the Convolutional NMF for Supervised Polyphonic Music Transcription and Note Isolation. 437-445 - Dave Betts:
Masked Positive Semi-definite Tensor Interpolation. 446-453 - Wendyam Serge Boris Ouedraogo, Bertrand Rivet, Christian Jutten:
On the Suppression of Noise from a Fast Moving Acoustic Source Using Multimodality. 454-461 - Szymon Drgas, Tuomas Virtanen:
Speaker Verification Using Adaptive Dictionaries in Non-negative Spectrogram Deconvolution. 462-469 - Eric S. Schwenker, Griffin D. Romigh:
Towards Individualized Spatial Audio via Latent Variable Modeling. 470-477
Biomedical and Other Applications
- Anton Dogadov, Christine Servière, Franck Quaine:
Blind Separation of Surface Electromyographic Mixtures from Two Finger Extensor Muscles. 481-488 - Yuri Levin-Schwartz, Vince D. Calhoun, Tülay Adali:
Multivariate Fusion of EEG and Functional MRI Data Using ICA: Algorithm Choice and Performance Analysis. 489-496 - Clément Dorffer, Matthieu Puigt, Gilles Delmaire, Gilles Roussel:
Blind Calibration of Mobile Sensors Using Informed Nonnegative Matrix Factorization. 497-505 - Alexander Sagel, Dominik Meyer, Hao Shen:
Texture Retrieval Using Scattering Coefficients and Probability Product Kernels. 506-513 - Marie Danková, Pavel Rajmic, Radovan Jirík:
Acceleration of Perfusion MRI Using Locally Low-Rank Plus Sparse Model. 514-521 - Yael Yankelevsky, Arie Feuer, Zvi Friedman:
Decomposition-Based Compression of Ultrasound Raw-Data. 522-529
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