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ORCID14th LVA/ICA 2018: Guildford, UK
- Yannick Deville, Sharon Gannot, Russell Mason
, Mark D. Plumbley, Dominic Ward:
Latent Variable Analysis and Signal Separation - 14th International Conference, LVA/ICA 2018, Guildford, UK, July 2-5, 2018, Proceedings. Lecture Notes in Computer Science 10891, Springer 2018, ISBN 978-3-319-93763-2
Structured Tensor Decompositions and Applications
- Xu Han, Laurent Albera, Amar Kachenoura, Huazhong Shu, Lotfi Senhadji:
Robust Multilinear Decomposition of Low Rank Tensors. 3-12 - Mathieu Fontaine, Fabian-Robert Stöter, Antoine Liutkus, Umut Simsekli, Romain Serizel, Roland Badeau:
Multichannel Audio Modeling with Elliptically Stable Tensor Decomposition. 13-23 - Gökhan Çapan, Semih Akbayrak, Taha Yusuf Ceritli, Ali Taylan Cemgil:
Sum Conditioned Poisson Factorization. 24-35 - Jeremy Emile Cohen, Rodrigo Cabral Farias, Bertrand Rivet:
Curve Registered Coupled Low Rank Factorization. 36-45 - Pedro Marinho R. de Oliveira, Vicente Zarzoso:
Source Analysis and Selection Using Block Term Decomposition in Atrial Fibrillation. 46-56 - Mohamad Jouni, Mauro Dalla Mura, Pierre Comon:
Some Issues in Computing the CP Decomposition of NonNegative Tensors. 57-66
Matrix and Tensor Factorizations
- Emilie Renard, Kyle A. Gallivan, Pierre-Antoine Absil:
A Grassmannian Minimum Enclosing Ball Approach for Common Subspace Extraction. 69-78 - Philippe Dreesen, Jeroen De Geeter, Mariya Ishteva:
Decoupling Multivariate Functions Using Second-Order Information and Tensors. 79-88 - Jeremy E. Cohen, Rasmus Bro:
Nonnegative PARAFAC2: A Flexible Coupling Approach. 89-98 - Ivan Markovsky, Antonio Fazzi, Nicola Guglielmi:
Applications of Polynomial Common Factor Computation in Signal Processing. 99-106 - Ivica Kopriva:
Joint Nonnegative Matrix Factorization for Underdetermined Blind Source Separation in Nonlinear Mixtures. 107-115 - Tomasz Sadowski, Rafal Zdunek:
Image Completion with Nonnegative Matrix Factorization Under Separability Assumption. 116-126 - Stéphane Chrétien, Zhen-Wai Olivier Ho:
Feature Selection in Weakly Coherent Matrices. 127-138 - Guillaume Olikier, Pierre-Antoine Absil, Lieven De Lathauwer:
Variable Projection Applied to Block Term Decomposition of Higher-Order Tensors. 139-148
ICA Methods
- Pierre Ablin, Jean-François Cardoso, Alexandre Gramfort:
Accelerating Likelihood Optimization for ICA on Real Signals. 151-160 - Zbynek Koldovský, Petr Tichavský, Nobutaka Ono:
Orthogonally-Constrained Extraction of Independent Non-Gaussian Component from Non-Gaussian Background Without ICA. 161-170 - Dana Lahat, Christian Jutten:
A New Link Between Joint Blind Source Separation Using Second Order Statistics and the Canonical Polyadic Decomposition. 171-180
Nonlinear Mixtures
- Andréa Guerrero, Yannick Deville, Shahram Hosseini:
A Blind Source Separation Method Based on Output Nonlinear Correlation for Bilinear Mixtures. 183-192 - Denis G. Fantinato, Leonardo Tomazeli Duarte, Yannick Deville, Christian Jutten, Romis Attux, Aline Neves:
Using Taylor Series Expansions and Second-Order Statistics for Blind Source Separation in Post-Nonlinear Mixtures. 193-203 - Yannick Deville, Alain Deville:
New Classes of Blind Quantum Source Separation and Process Tomography Methods Based on Spin Component Measurements Along Two Directions. 204-214
Audio Data and Methods
- Hiroshi Sawada:
Blind Signal Separation by Synchronized Joint Diagonalization. 217-227 - Christopher Schymura, Peng Guo, Yanir Maymon, Boaz Rafaely, Dorothea Kolossa:
Exploiting Structures of Temporal Causality for Robust Speaker Localization in Reverberant Environments. 228-237 - Ryan M. Corey, Andrew C. Singer:
Relative Transfer Function Estimation from Speech Keywords. 238-247 - Markus Matilainen, Klaus Nordhausen, Joni Virta:
On the Number of Signals in Multivariate Time Series. 248-258 - William J. Wilkinson, Joshua D. Reiss, Dan Stowell:
A Generative Model for Natural Sounds Based on Latent Force Modelling. 259-269 - Jaroslav Cmejla, Tomás Kounovský, Jirí Málek, Zbynek Koldovský:
Independent Vector Analysis Exploiting Pre-learned Banks of Relative Transfer Functions for Assumed Target's Positions. 270-279 - Delia Fano Yela, Dan Stowell, Mark B. Sandler:
Does k Matter? k-NN Hubness Analysis for Kernel Additive Modelling Vocal Separation. 280-289
Signal Separation Evaluation Campaign (SiSEC 2018)
- Fabian-Robert Stöter, Antoine Liutkus, Nobutaka Ito:
The 2018 Signal Separation Evaluation Campaign. 293-305 - Gerard Roma, Owen Green, Pierre Alexandre Tremblay:
Improving Single-Network Single-Channel Separation of Musical Audio with Convolutional Layers. 306-315
Deep Learning and Data-driven Methods
- Shlomo E. Chazan, Sharon Gannot, Jacob Goldberger:
Training Strategies for Deep Latent Models and Applications to Speech Presence Probability Estimation. 319-328 - Daniel Stoller, Sebastian Ewert, Simon Dixon:
Jointly Detecting and Separating Singing Voice: A Multi-Task Approach. 329-339 - Emad M. Grais, Hagen Wierstorf, Dominic Ward, Mark D. Plumbley:
Multi-Resolution Fully Convolutional Neural Networks for Monaural Audio Source Separation. 340-350 - Xuan Dong, Donald S. Williamson:
Long-Term SNR Estimation Using Noise Residuals and a Two-Stage Deep-Learning Framework. 351-360 - Alfredo Zermini, Qiuqiang Kong, Yong Xu, Mark D. Plumbley, Wenwu Wang:
Improving Reverberant Speech Separation with Binaural Cues Using Temporal Context and Convolutional Neural Networks. 361-371 - Sefik Emre Eskimez, Ross K. Maddox, Chenliang Xu, Zhiyao Duan:
Generating Talking Face Landmarks from Speech. 372-381
Advances in Phase Retrieval and Applications
- Guillaume Beaumont, Ronan Fablet, Angélique Drémeau:
An Approximate Message Passing Approach for DOA Estimation in Phase Noisy Environments. 385-394 - Christopher A. Metzler, Philip Schniter, Richard G. Baraniuk:
An Expectation-Maximization Approach to Tuning Generalized Vector Approximate Message Passing. 395-406 - Martin Krawczyk-Becker, Timo Gerkmann:
A Study on the Benefits of Phase-Aware Speech Enhancement in Challenging Noise Scenarios. 407-416 - A. Marina Krémé, Valentin Emiya, Caroline Chaux:
Phase Reconstruction for Time-Frequency Inpainting. 417-426
Sparsity-Related Methods
- Pavel Záviska, Pavel Rajmic, Zdenek Prusa, Vítezslav Veselý:
Revisiting Synthesis Model in Sparse Audio Declipper. 429-445 - Lucas Rencker, Francis R. Bach, Wenwu Wang, Mark D. Plumbley:
Consistent Dictionary Learning for Signal Declipping. 446-455 - Cássio Fraga Dantas, Jérémy E. Cohen, Rémi Gribonval:
Learning Fast Dictionaries for Sparse Representations Using Low-Rank Tensor Decompositions. 456-466 - Jörg Lücke, Zhenwen Dai, Georgios Exarchakis:
Truncated Variational Sampling for 'Black Box' Optimization of Generative Models. 467-478 - Ivan Markovsky, Pier Luigi Dragotti:
Using Hankel Structured Low-Rank Approximation for Sparse Signal Recovery. 479-487 - Jesper Løve Hinrich, Morten Mørup:
Probabilistic Sparse Non-negative Matrix Factorization. 488-498
Biomedical Data and Methods
- Urszula Czerwinska, Laura Cantini, Ulykbek Kairov, Emmanuel Barillot, Andrei Yu. Zinovyev:
Application of Independent Component Analysis to Tumor Transcriptomes Reveals Specific and Reproducible Immune-Related Signals. 501-513 - Rémi Souriau, Vincent Vigneron, Jean Lerbet, Hsin Chen:
Probit Latent Variables Estimation for a Gaussian Process Classifier: Application to the Detection of High-Voltage Spindles. 514-523 - Dounia Mulders, Cyril de Bodt, Nicolas Lejeune, André Mouraux, Michel Verleysen:
Spatial Filtering of EEG Signals to Identify Periodic Brain Activity Patterns. 524-533 - Saeed Akhavan, Ronald Phlypo, Hamid Soltanian-Zadeh, Mahmoud Kamarei, Christian Jutten:
Static and Dynamic Modeling of Absence Epileptic Seizures Using Depth Recordings. 534-544
Applications of LVA/ICA
- Thanh Thi Hien Duong, Ngoc Q. K. Duong, Cong-Phuong Nguyen, Quoc-Cuong Nguyen:
Multichannel Audio Source Separation Exploiting NMF-Based Generic Source Spectral Model in Gaussian Modeling Framework. 547-557 - Philip Coleman, Qingju Liu, Jon Francombe, Philip J. B. Jackson:
Perceptual Evaluation of Blind Source Separation in Object-Based Audio Production. 558-567 - Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, João Marcos Travassos Romano:
Muticriteria Decision Making Based on Independent Component Analysis: A Preliminary Investigation Considering the TOPSIS Approach. 568-577
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