Latent Variable Analysis and Signal Separation: 14th International Conference, LVA/ICA 2018, Guildford, UK, July 2–5, 2018, Proceedings (Lecture Notes in Computer Science Book 10891)

Annotation This book constitutes the proceedings of the 14th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2018, held in Guildford, UK, in July 2018. The 52 full papers were carefully reviewed and selected from 62 initial submissions. As research topics the papers encompass a wide range of general mixtures of latent variables models but also theories and tools drawn from a great variety of disciplines such as structured tensor decompositions and applications; matrix and tensor factorizations; ICA methods; nonlinear mixtures; audio data and methods; signal separation evaluation campaign; deep learning and data-driven methods; advances in phase retrieval and applications; sparsity-related methods; and biomedical data and methods Front Matter ....Pages I-XVII Front Matter ....Pages 1-1 Robust Multilinear Decomposition of Low Rank Tensors (Xu Han, Laurent Albera, Amar Kachenoura, Huazhong Shu, Lotfi Senhadji)....Pages 3-12 Multichannel Audio Modeling with Elliptically Stable Tensor Decomposition (Mathieu Fontaine, Fabian-Robert Stöter, Antoine Liutkus, Umut Şimşekli, Romain Serizel, Roland Badeau)....Pages 13-23 Sum Conditioned Poisson Factorization (Gökhan Çapan, Semih Akbayrak, Taha Yusuf Ceritli, Ali Taylan Cemgil)....Pages 24-35 Curve Registered Coupled Low Rank Factorization (Jeremy Emile Cohen, Rodrigo Cabral Farias, Bertrand Rivet)....Pages 36-45 Source Analysis and Selection Using Block Term Decomposition in Atrial Fibrillation (Pedro Marinho R. de Oliveira, Vicente Zarzoso)....Pages 46-56 Some Issues in Computing the CP Decomposition of NonNegative Tensors (Mohamad Jouni, Mauro Dalla Mura, Pierre Comon)....Pages 57-66 Front Matter ....Pages 67-67 A Grassmannian Minimum Enclosing Ball Approach for Common Subspace Extraction (Emilie Renard, Kyle A. Gallivan, P.-A. Absil)....Pages 69-78 Decoupling Multivariate Functions Using Second-Order Information and Tensors (Philippe Dreesen, Jeroen De Geeter, Mariya Ishteva)....Pages 79-88 Nonnegative PARAFAC2: A Flexible Coupling Approach (Jeremy E. Cohen, Rasmus Bro)....Pages 89-98 Applications of Polynomial Common Factor Computation in Signal Processing (Ivan Markovsky, Antonio Fazzi, Nicola Guglielmi)....Pages 99-106 Joint Nonnegative Matrix Factorization for Underdetermined Blind Source Separation in Nonlinear Mixtures (Ivica Kopriva)....Pages 107-115 Image Completion with Nonnegative Matrix Factorization Under Separability Assumption (Tomasz Sadowski, Rafał Zdunek)....Pages 116-126 Feature Selection in Weakly Coherent Matrices (Stéphane Chrétien, Olivier Ho)....Pages 127-138 Variable Projection Applied to Block Term Decomposition of Higher-Order Tensors (Guillaume Olikier, P.-A. Absil, Lieven De Lathauwer)....Pages 139-148 Front Matter ....Pages 149-149 Accelerating Likelihood Optimization for ICA on Real Signals (Pierre Ablin, Jean-François Cardoso, Alexandre Gramfort)....Pages 151-160 Orthogonally-Constrained Extraction of Independent Non-Gaussian Component from Non-Gaussian Background Without ICA (Zbyněk Koldovský, Petr Tichavský, Nobutaka Ono)....Pages 161-170 A New Link Between Joint Blind Source Separation Using Second Order Statistics and the Canonical Polyadic Decomposition (Dana Lahat, Christian Jutten)....Pages 171-180 Front Matter ....Pages 181-181 A Blind Source Separation Method Based on Output Nonlinear Correlation for Bilinear Mixtures (Andréa Guerrero, Yannick Deville, Shahram Hosseini)....Pages 183-192 Using Taylor Series Expansions and Second-Order Statistics for Blind Source Separation in Post-Nonlinear Mixtures (Denis G. Fantinato, Leonardo T. Duarte, Yannick Deville, Christian Jutten, Romis Attux, Aline Neves)....Pages 193-203 New Classes of Blind Quantum Source Separation and Process Tomography Methods Based on Spin Component Measurements Along Two Directions (Yannick Deville, Alain Deville)....Pages 204-214 Front Matter ....Pages 215-215 Blind Signal Separation by Synchronized Joint Diagonalization (Hiroshi Sawada)....Pages 217-227 Exploiting Structures of Temporal Causality for Robust Speaker Localization in Reverberant Environments (Christopher Schymura, Peng Guo, Yanir Maymon, Boaz Rafaely, Dorothea Kolossa)....Pages 228-237 Relative Transfer Function Estimation from Speech Keywords (Ryan M. Corey, Andrew C. Singer)....Pages 238-247 On the Number of Signals in Multivariate Time Series (Markus Matilainen, Klaus Nordhausen, Joni Virta)....Pages 248-258 A Generative Model for Natural Sounds Based on Latent Force Modelling (William J. Wilkinson, Joshua D. Reiss, Dan Stowell)....Pages 259-269 Independent Vector Analysis Exploiting Pre-learned Banks of Relative Transfer Functions for Assumed Target’s Positions (Jaroslav Čmejla, Tomáš Kounovský, Jiří Málek, Zbyněk Koldovský)....Pages 270-279 Does k Matter? k-NN Hubness Analysis for Kernel Additive Modelling Vocal Separation (Delia Fano Yela, Dan Stowell, Mark Sandler)....Pages 280-289 Front Matter ....Pages 291-291 The 2018 Signal Separation Evaluation Campaign (Fabian-Robert Stöter, Antoine Liutkus, Nobutaka Ito)....Pages 293-305 Improving Single-Network Single-Channel Separation of Musical Audio with Convolutional Layers (Gerard Roma, Owen Green, Pierre Alexandre Tremblay)....Pages 306-315 Front Matter ....Pages 317-317 Training Strategies for Deep Latent Models and Applications to Speech Presence Probability Estimation (Shlomo E. Chazan, Sharon Gannot, Jacob Goldberger)....Pages 319-328 Jointly Detecting and Separating Singing Voice: A Multi-Task Approach (Daniel Stoller, Sebastian Ewert, Simon Dixon)....Pages 329-339 Multi-Resolution Fully Convolutional Neural Networks for Monaural Audio Source Separation (Emad M. Grais, Hagen Wierstorf, Dominic Ward, Mark D. Plumbley)....Pages 340-350 Long-Term SNR Estimation Using Noise Residuals and a Two-Stage Deep-Learning Framework (Xuan Dong, Donald S. Williamson)....Pages 351-360 Improving Reverberant Speech Separation with Binaural Cues Using Temporal Context and Convolutional Neural Networks (Alfredo Zermini, Qiuqiang Kong, Yong Xu, Mark D. Plumbley, Wenwu Wang)....Pages 361-371 Generating Talking Face Landmarks from Speech (Sefik Emre Eskimez, Ross K. Maddox, Chenliang Xu, Zhiyao Duan)....Pages 372-381 Front Matter ....Pages 383-383 An Approximate Message Passing Approach for DOA Estimation in Phase Noisy Environments (Guillaume Beaumont, Ronan Fablet, Angélique Drémeau)....Pages 385-394 An Expectation-Maximization Approach to Tuning Generalized Vector Approximate Message Passing (Christopher A. Metzler, Philip Schniter, Richard G. Baraniuk)....Pages 395-406 A Study on the Benefits of Phase-Aware Speech Enhancement in Challenging Noise Scenarios (Martin Krawczyk-Becker, Timo Gerkmann)....Pages 407-416 Phase Reconstruction for Time-Frequency Inpainting (A. Marina Krémé, Valentin Emiya, Caroline Chaux)....Pages 417-426 Front Matter ....Pages 427-427 Revisiting Synthesis Model in Sparse Audio Declipper (Pavel Záviška, Pavel Rajmic, Zdeněk Průša, Vítězslav Veselý)....Pages 429-445 Consistent Dictionary Learning for Signal Declipping (Lucas Rencker, Francis Bach, Wenwu Wang, Mark D. Plumbley)....Pages 446-455 Learning Fast Dictionaries for Sparse Representations Using Low-Rank Tensor Decompositions (Cássio F. Dantas, Jérémy E. Cohen, Rémi Gribonval)....Pages 456-466 Truncated Variational Sampling for ‘Black Box’ Optimization of Generative Models (Jörg Lücke, Zhenwen Dai, Georgios Exarchakis)....Pages 467-478 Using Hankel Structured Low-Rank Approximation for Sparse Signal Recovery (Ivan Markovsky, Pier Luigi Dragotti)....Pages 479-487 Probabilistic Sparse Non-negative Matrix Factorization (Jesper Løve Hinrich, Morten Mørup)....Pages 488-498 Front Matter ....Pages 499-499 Application of Independent Component Analysis to Tumor Transcriptomes Reveals Specific and Reproducible Immune-Related Signals (Urszula Czerwinska, Laura Cantini, Ulykbek Kairov, Emmanuel Barillot, Andrei Zinovyev)....Pages 501-513 Probit Latent Variables Estimation for a Gaussian Process Classifier: Application to the Detection of High-Voltage Spindles (Rémi Souriau, Vincent Vigneron, Jean Lerbet, Hsin Chen)....Pages 514-523 Spatial Filtering of EEG Signals to Identify Periodic Brain Activity Patterns (Dounia Mulders, Cyril de Bodt, Nicolas Lejeune, André Mouraux, Michel Verleysen)....Pages 524-533 Static and Dynamic Modeling of Absence Epileptic Seizures Using Depth Recordings (Saeed Akhavan, Ronald Phlypo, Hamid Soltanian-Zadeh, Mahmoud Kamarei, Christian Jutten)....Pages 534-544 Front Matter ....Pages 545-545 Multichannel Audio Source Separation Exploiting NMF-Based Generic Source Spectral Model in Gaussian Modeling Framework (Thanh Thi Hien Duong, Ngoc Q. K. Duong, Cong-Phuong Nguyen, Quoc-Cuong Nguyen)....Pages 547-557 Perceptual Evaluation of Blind Source Separation in Object-Based Audio Production (Philip Coleman, Qingju Liu, Jon Francombe, Philip J. B. Jackson)....Pages 558-567 Muticriteria Decision Making Based on Independent Component Analysis: A Preliminary Investigation Considering the TOPSIS Approach (Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, João Marcos Travassos Romano)....Pages 568-577 Back Matter ....Pages 579-580