10. LVA/ICA 2012: Tel Aviv, Israel

General LVA/ICA Theory, Methods and Extensions

• Lieven De Lathauwer:
  Block Component Analysis, a New Concept for Blind Source Separation. 1-8
  
• Tomer Michaeli, Daniel Sigalov, Yonina C. Eldar:
  Partially Linear Estimation with Application to Image Deblurring Using Blurred/Noisy Image Pairs. 9-16
  
• Zhitang Chen, Laiwan Chan:
  Causal Discovery for Linear Non-Gaussian Acyclic Models in the Presence of Latent Gaussian Confounders. 17-24
  
• Stefan Haufe, Vadim V. Nikulin, Guido Nolte:
  Alleviating the Influence of Weak Data Asymmetries on Granger-Causal Analyses. 25-33
  
• Zhiyao Duan, Gautham J. Mysore, Paris Smaragdis:
  Online PLCA for Real-Time Semi-supervised Source Separation. 34-41
  
• Benedikt Loesch, Bin Yang:
  Cramér-Rao Bound for Circular Complex Independent Component Analysis. 42-49
  
• Ke Wang, Xiao-Feng Gong, Qiu-Hua Lin:
  Complex Non-Orthogonal Joint Diagonalization Based on LU and LQ Decompositions. 50-57
  
• Yannick Deville, Alain Deville:
  Exact and Approximate Quantum Independent Component Analysis for Qubit Uncoupling. 58-65
  
• Hao Shen, Martin Kleinsteuber:
  A Matrix Joint Diagonalization Approach for Complex Independent Vector Analysis. 66-73
  
• Hao Shen, Martin Kleinsteuber:
  Algebraic Solutions to Complex Blind Source Separation. 74-81
  
• Arie Yeredor:
  On the Separation Performance of the Strong Uncorrelating Transformation When Applied to Generalized Covariance and Pseudo-covariance Matrices. 82-90
  
• Juha Karhunen, Tele Hao, Jarkko Ylipaavalniemi:
  A Canonical Correlation Analysis Based Method for Improving BSS of Two Related Data Sets. 91-98
  
• Julian Mathias Becker, Martin Spiertz, Volker Gnann:
  A Probability-Based Combination Method for Unsupervised Clustering with Application to Blind Source Separation. 99-106
  
• Alon Slapak, Arie Yeredor:
  Charrelation Matrix Based ICA. 107-114
  
• Jason A. Palmer, Scott Makeig:
  Contrast Functions for Independent Subspace Analysis. 115-122
  
• Jarkko Ylipaavalniemi, Nima Reyhani, Ricardo Vigário:
  Distributional Convergence of Subspace Estimates in FastICA: A Bootstrap Study. 123-130
  
• Sylvain Le Corff, Gersende Fort, Eric Moulines:
  New Online EM Algorithms for General Hidden Markov Models. Application to the SLAM Problem. 131-138
  
• Miguel Almeida, Ricardo Vigário, José M. Bioucas-Dias:
  The Role of Whitening for Separation of Synchronous Sources. 139-146
  
• Frank C. Meinecke:
  Simultaneous Diagonalization of Skew-Symmetric Matrices in the Symplectic Group. 147-154
  
• Dana Lahat, Jean-François Cardoso, Hagit Messer:
  Joint Block Diagonalization Algorithms for Optimal Separation of Multidimensional Components. 155-162
  
• Petr Tichavský, Arie Yeredor, Zbynek Koldovský:
  On Computation of Approximate Joint Block-Diagonalization Using Ordinary AJD. 163-171
  
• Klaus Nordhausen, Harold W. Gutch, Hannu Oja, Fabian J. Theis:
  Joint Diagonalization of Several Scatter Matrices for ICA. 172-179
  
• Harold W. Gutch, Fabian J. Theis:
  To Infinity and Beyond: On ICA over Hilbert Spaces. 180-187
  

Sparsity, Sparse Coding and Dictionary Learning

• Tom Trigano, Yann Sepulcre:
  Regularized Sparse Representation for Spectrometric Pulse Separation and Counting Rate Estimation. 188-195
  
• Alexis Benichoux, Prasad Sudhakar, Frédéric Bimbot, Rémi Gribonval:
  Some Uniqueness Results in Sparse Convolutive Source Separation. 196-203
  
• Georgios Exarchakis, Marc Henniges, Julian Eggert, Jörg Lücke:
  Ternary Sparse Coding. 204-212
  
• Jörg Lücke, Abdul-Saboor Sheikh:
  Closed-Form EM for Sparse Coding and Its Application to Source Separation. 213-221
  
• Francesco Nesta, Maurizio Omologo:
  Convolutive Underdetermined Source Separation through Weighted Interleaved ICA and Spatio-temporal Source Correlation. 222-230
  
• Boris Mailhé, Mark D. Plumbley:
  Dictionary Learning with Large Step Gradient Descent for Sparse Representations. 231-238
  
• Leonardo Tomazeli Duarte, Rafael A. Ando, Romis de Faissol Attux, Yannick Deville, Christian Jutten:
  Separation of Sparse Signals in Overdetermined Linear-Quadratic Mixtures. 239-246
  
• Zoltán Szabó, Barnabás Póczos, András Lörincz:
  Collaborative Filtering via Group-Structured Dictionary Learning. 247-254
  
• Aris Gretsistas, Mark D. Plumbley:
  Group Polytope Faces Pursuit for Recovery of Block-Sparse Signals. 255-262
  

Non-negative and Other Factorizations

• Yu Fujimoto, Noboru Murata:
  Nonnegative Matrix Factorization via Generalized Product Rule and Its Application for Classification. 263-271
  
• Franz J. Király, Andreas Ziehe, Klaus-Robert Müller:
  An Algebraic Method for Approximate Rank One Factorization of Rank Deficient Matrices. 272-279
  
• Mathieu Coïc, Juan José Burred:
  Bayesian Non-negative Matrix Factorization with Learned Temporal Smoothness Priors. 280-287
  
• Anh Huy Phan, Andrzej Cichocki, Petr Tichavský, Zbynek Koldovský:
  On Connection between the Convolutive and Ordinary Nonnegative Matrix Factorizations. 288-296
  
• Anh Huy Phan, Andrzej Cichocki, Petr Tichavský, Danilo P. Mandic, Kiyotoshi Matsuoka:
  On Revealing Replicating Structures in Multiway Data: A Novel Tensor Decomposition Approach. 297-305
  

Audio Separation and Analysis

• Hugo Van Hamme:
  An On-Line NMF Model for Temporal Pattern Learning: Theory with Application to Automatic Speech Recognition. 306-313
  
• Ricard Marxer, Jordi Janer, Jordi Bonada:
  Low-Latency Instrument Separation in Polyphonic Audio Using Timbre Models. 314-321
  
• Cyril Joder, Felix Weninger, Florian Eyben, David Virette, Björn Schuller:
  Real-Time Speech Separation by Semi-supervised Nonnegative Matrix Factorization. 322-329
  
• Yanfeng Liang, Jonathon Chambers:
  An Audio-Video Based IVA Algorithm for Source Separation and Evaluation on the AV16.3 Corpus. 330-337
  
• Seon Man Kim, Ji Hun Park, Hong Kook Kim, Sung Joo Lee, Yunkeun Lee:
  Non-negative Matrix Factorization Based Noise Reduction for Noise Robust Automatic Speech Recognition. 338-346
  
• Jinyu Han, Gautham J. Mysore, Bryan Pardo:
  Audio Imputation Using the Non-negative Hidden Markov Model. 347-355
  
• Gautham J. Mysore, Paris Smaragdis:
  A Non-negative Approach to Language Informed Speech Separation. 356-363
  
• Emmanouil Benetos, Simon Dixon:
  Temporally-Constrained Convolutive Probabilistic Latent Component Analysis for Multi-pitch Detection. 364-371
  
• Antoine Deleforge, Radu Horaud:
  A Latently Constrained Mixture Model for Audio Source Separation and Localization. 372-379
  
• Francisco J. Rodriguez-Serrano, Julio J. Carabias-Orti, Pedro Vera-Candeas, Tuomas Virtanen, Nicolás Ruiz-Reyes:
  Multiple Instrument Mixtures Source Separation Evaluation Using Instrument-Dependent NMF Models. 380-387
  
• Kohei Nagira, Toru Takahashi, Tetsuya Ogata, Hiroshi G. Okuno:
  Complex Extension of Infinite Sparse Factor Analysis for Blind Speech Separation. 388-396
  
• Laurent S. R. Simon, Emmanuel Vincent:
  A General Framework for Online Audio Source Separation. 397-404
  
• Juhan Nam, Gautham J. Mysore, Paris Smaragdis:
  Sound Recognition in Mixtures. 405-413
  

SiSEC 11 Evaluation Campaign

• Shoko Araki, Francesco Nesta, Emmanuel Vincent, Zbynek Koldovský, Guido Nolte, Andreas Ziehe, Alexis Benichoux:
  The 2011 Signal Separation Evaluation Campaign (SiSEC2011): - Audio Source Separation -. 414-422
  
• Guido Nolte, Dominik Lutter, Andreas Ziehe, Francesco Nesta, Emmanuel Vincent, Zbynek Koldovský, Alexis Benichoux, Shoko Araki:
  The 2011 Signal Separation Evaluation Campaign (SiSEC2011): - Biomedical Data Analysis -. 423-429
  
• Emmanuel Vincent:
  Improved Perceptual Metrics for the Evaluation of Audio Source Separation. 430-437
  
• Jean-Louis Durrieu, Jean-Philippe Thiran:
  Musical Audio Source Separation Based on User-Selected F0 Track. 438-445
  
• Yasuharu Hirasawa, Naoki Yasuraoka, Toru Takahashi, Tetsuya Ogata, Hiroshi G. Okuno:
  A GMM Sound Source Model for Blind Speech Separation in Under-determined Conditions. 446-453
  
• Pejman Mowlaee, Rahim Saeidi, Rainer Martin:
  Model-Driven Speech Enhancement for Multisource Reverberant Environment (Signal Separation Evaluation Campaign (SiSEC) 2011). 454-461
  
• Jirí Málek, Zbynek Koldovský, Petr Tichavský:
  Semi-blind Source Separation Based on ICA and Overlapped Speech Detection. 462-469
  
• Bertrand Rivet, Mohammad Niknazar, Christian Jutten:
  Nonparametric Modelling of ECG: Applications to Denoising and to Single Sensor Fetal ECG Extraction. 470-477
  

Other Applications

• Rafal Zdunek, Zhaoshui He:
  Nesterov's Iterations for NMF-Based Supervised Classification of Texture Patterns. 478-485
  
• Scott C. Douglas:
  Detection of Aliasing in Image Sequences Using Nonlinear Factor Analysis. 486-493
  
• Wendyam Serge Boris Ouedraogo, Antoine Souloumiac, Meriem Jaïdane, Christian Jutten:
  Geometrical Method Using Simplicial Cones for Overdetermined Nonnegative Blind Source Separation: Application to Real PET Images. 494-501
  
• Fengyu Cong, Anh Huy Phan, Piia Astikainen, Qibin Zhao, Jari K. Hietanen, Tapani Ristaniemi, Andrzej Cichocki:
  Multi-domain Feature of Event-Related Potential Extracted by Nonnegative Tensor Factorization: 5 vs 14 Electrodes EEG Data. 502-510
  
• Dani Cherkassky, Jonatan Ostrometzky, Hagit Messer:
  The Use of Linear Feature Projection for Precipitation Classification Using Measurements from Commercial Microwave Links. 511-519
  
• Sabine Hug, Fabian J. Theis:
  Bayesian Inference of Latent Causes in Gene Regulatory Dynamics. 520-527
  
• Fabian J. Theis:
  Bayesian Fuzzy Clustering of Colored Graphs. 528-535
  

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