9. LVA/ICA 2010: St. Malo, France

Speech and Audio Applications

• Benedikt Loesch, Bin Yang:
  Blind Source Separation Based on Time-Frequency Sparseness in the Presence of Spatial Aliasing. 1-8
  
• Jirí Málek, Zbynek Koldovský, Petr Tichavský:
  Adaptive Time-Domain Blind Separation of Speech Signals. 9-16
  
• Zbynek Koldovský, Petr Tichavský, Jirí Málek:
  Time-Domain Blind Audio Source Separation Method Producing Separating Filters of Generalized Feedforward Structure. 17-24
  
• Zbynek Koldovský, Petr Tichavský, Jirí Málek:
  Subband Blind Audio Source Separation Using a Time-Domain Algorithm and Tree-Structured QMF Filter Bank. 25-32
  
• Alexey Ozerov, Emmanuel Vincent, Frédéric Bimbot:
  A General Modular Framework for Audio Source Separation. 33-40
  
• Benedikt Loesch, Bin Yang:
  Adaptive Segmentation and Separation of Determined Convolutive Mixtures under Dynamic Conditions. 41-48
  
• Hiroshi Saruwatari, Ryoi Okamoto, Yu Takahashi, Kiyohiro Shikano:
  Blind Speech Extraction Combining Generalized MMSE STSA Estimator and ICA-Based Noise and Speech Probability Density Function Estimations. 49-56
  
• Keisuke Hasegawa, Nobutaka Ono, Shigeki Miyabe, Shigeki Sagayama:
  Blind Estimation of Locations and Time Offsets for Distributed Recording Devices. 57-64
  
• Xiao-Feng Gong, Qiu-Hua Lin:
  Speech Separation via Parallel Factor Analysis of Cross-Frequency Covariance Tensor. 65-72
  
• Ngoc Q. K. Duong, Emmanuel Vincent, Rémi Gribonval:
  Under-Determined Reverberant Audio Source Separation Using Local Observed Covariance and Auditory-Motivated Time-Frequency Representation. 73-80
  
• Nobutaka Ito, Emmanuel Vincent, Nobutaka Ono, Rémi Gribonval, Shigeki Sagayama:
  Crystal-MUSIC: Accurate Localization of Multiple Sources in Diffuse Noise Environments Using Crystal-Shaped Microphone Arrays. 81-88
  

Convolutive Signal Separation

• Jonathan Le Roux, Emmanuel Vincent, Yuu Mizuno, Hirokazu Kameoka, Nobutaka Ono, Shigeki Sagayama:
  Consistent Wiener Filtering: Generalized Time-Frequency Masking Respecting Spectrogram Consistency. 89-96
  
• Hicham Saylani, Shahram Hosseini, Yannick Deville:
  Blind Separation of Convolutive Mixtures of Non-stationary Sources Using Joint Block Diagonalization in the Frequency Domain. 97-105
  
• Siouar Bensaid, Antony Schutz, Dirk T. M. Slock:
  Single Microphone Blind Audio Source Separation Using EM-Kalman Filter and Short+Long Term AR Modeling. 106-113
  

The 2010 Signal Separation Evaluation Campaign (SiSEC2010)

• Shoko Araki, Alexey Ozerov, Vikrham Gowreesunker, Hiroshi Sawada, Fabian J. Theis, Guido Nolte, Dominik Lutter, Ngoc Q. K. Duong:
  The 2010 Signal Separation Evaluation Campaign (SiSEC2010): Audio Source Separation. 114-122
  
• Shoko Araki, Fabian J. Theis, Guido Nolte, Dominik Lutter, Alexey Ozerov, Vikrham Gowreesunker, Hiroshi Sawada, Ngoc Q. K. Duong:
  The 2010 Signal Separation Evaluation Campaign (SiSEC2010): Biomedical Source Separation. 123-130
  

Audio

• Qingju Liu, Wenwu Wang, Philip J. B. Jackson:
  Use of Bimodal Coherence to Resolve Spectral Indeterminacy in Convolutive BSS. 131-139
  
• Gautham J. Mysore, Paris Smaragdis, Bhiksha Raj:
  Non-negative Hidden Markov Modeling of Audio with Application to Source Separation. 140-148
  
• Masahiro Nakano, Jonathan Le Roux, Hirokazu Kameoka, Yu Kitano, Nobutaka Ono, Shigeki Sagayama:
  Nonnegative Matrix Factorization with Markov-Chained Bases for Modeling Time-Varying Patterns in Music Spectrograms. 149-156
  
• Emmanuel Vincent:
  An Experimental Evaluation of Wiener Filter Smoothing Techniques Applied to Under-Determined Audio Source Separation. 157-164
  
• Nobutaka Ono, Shigeki Miyabe:
  Auxiliary-Function-Based Independent Component Analysis for Super-Gaussian Sources. 165-172
  

Theory

• Yannick Deville:
  ICA Separability of Nonlinear Models with References: General Properties and Application to Heisenberg-Coupled Quantum States (Qubits). 173-180
  
• Andreas Sandmair, Alam Zaib, Fernando Puente León:
  Adaptive Underdetermined ICA for Handling an Unknown Number of Sources. 181-188
  
• Miguel Almeida, José M. Bioucas-Dias, Ricardo Vigário:
  Independent Phase Analysis: Separating Phase-Locked Subspaces. 189-196
  
• Xi-Lin Li, Matthew Anderson, Tülay Adali:
  Second and Higher-Order Correlation Analysis of Multiple Multidimensional Variables by Joint Diagonalization. 197-204
  
• Michael Shamis, Yehoshua Y. Zeevi:
  Independent Component Analysis of Time/Position Varying Mixtures. 205-212
  
• Alessandro Adamo, Giuliano Grossi:
  Random Pruning of Blockwise Stationary Mixtures for Online BSS. 213-220
  
• Takanori Inazumi, Shohei Shimizu, Takashi Washio:
  Use of Prior Knowledge in a Non-Gaussian Method for Learning Linear Structural Equation Models. 221-228
  
• Pauliina Ilmonen, Klaus Nordhausen, Hannu Oja, Esa Ollila:
  A New Performance Index for ICA: Properties, Computation and Asymptotic Analysis. 229-236
  
• Yannick Deville, Shahram Hosseini:
  Blind Operation of a Recurrent Neural Network for Linear-Quadratic Source Separation: Fixed Points, Stabilization and Adaptation Scheme. 237-244
  
• Hirokazu Kameoka, Takuya Yoshioka, Mariko Hamamura, Jonathan Le Roux, Kunio Kashino:
  Statistical Model of Speech Signals Based on Composite Autoregressive System with Application to Blind Source Separation. 245-253
  
• Claudia Plant, Fabian J. Theis, Anke Meyer-Bäse, Christian Böhm:
  Information-Theoretic Model Selection for Independent Components. 254-262
  
• Leonardo Tomazeli Duarte, Ricardo Suyama, Romis de Faissol Attux, Yannick Deville, João Marcos Travassos Romano, Christian Jutten:
  Blind Source Separation of Overdetermined Linear-Quadratic Mixtures. 263-270
  
• Qiu-Hua Lin, Li-Dan Wang, Jian-Gang Lin, Xiao-Feng Gong:
  Constrained Complex-Valued ICA without Permutation Ambiguity Based on Negentropy Maximization. 271-278
  
• Norbert Michael Mayer, Oliver Obst, Chang Yu-Chen:
  Time Series Causality Inference Using Echo State Networks. 279-286
  
• Hao Shen, Martin Kleinsteuber:
  Complex Blind Source Separation via Simultaneous Strong Uncorrelating Transform. 287-294
  
• Matthew Anderson, Tülay Adali:
  A General Approach for Robustification of ICA Algorithms. 295-302
  
• Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Makeig:
  Strong Sub- and Super-Gaussianity. 303-310
  

Telecom

• Héctor J. Pérez-Iglesias, Adriana Dapena, Paula Maria Castro, José Antonio García-Naya:
  Hybrid Channel Estimation Strategy for MIMO Systems with Decision Feedback Equalizer. 311-318
  
• Rad Niazadeh, Massoud Babaie-Zadeh, Christian Jutten:
  An Alternating Minimization Method for Sparse Channel Estimation. 319-327
  
• Radoslaw Mazur, Alfred Mertins:
  A Method for Filter Equalization in Convolutive Blind Source Separation. 328-336
  
• Carlos Alexandre R. Fernandes, João Cesar M. Mota, Gérard Favier:
  Cancellation of Nonlinear Inter-Carrier Interference in OFDM Systems with Nonlinear Power-Amplifiers. 337-345
  

Tensor Factorizations

• Y. Kenan Yilmaz, A. Taylan Cemgil:
  Probabilistic Latent Tensor Factorization. 346-353
  
• Matthew Anderson, Xi-Lin Li, Tülay Adali:
  Nonorthogonal Independent Vector Analysis Using Multivariate Gaussian Model. 354-361
  
• André L. F. de Almeida, Pierre Comon, Xavier Luciani:
  Deterministic Blind Separation of Sources Having Different Symbol Rates Using Tensor-Based Parallel Deflation. 362-369
  
• Harold W. Gutch, Takanori Maehara, Fabian J. Theis:
  Second Order Subspace Analysis and Simple Decompositions. 370-377
  
• Savaskan Bulek, Nurgun Erdol:
  Sensitivity of Joint Approximate Diagonalization in FD BSS. 378-385
  

Sparsity I

• Sivan Gleichman, Yonina C. Eldar:
  Blind Compressed Sensing: Theory. 386-393
  
• Everton Z. Nadalin, André K. Takahata, Leonardo Tomazeli Duarte, Ricardo Suyama, Romis de Faissol Attux:
  Blind Extraction of the Sparsest Component. 394-401
  
• Bertrand Rivet, Leonardo Tomazeli Duarte, Christian Jutten:
  Blind Extraction of Intermittent Sources. 402-409
  
• Mehrdad Yaghoobi, Mike E. Davies:
  Dictionary Learning for Sparse Representations: A Pareto Curve Root Finding Approach. 410-417
  
• Ivan Damnjanovic, Matthew E. P. Davies, Mark D. Plumbley:
  SMALLbox - An Evaluation Framework for Sparse Representations and Dictionary Learning Algorithms. 418-425
  

Sparsity; Biomedical Applications

• Sina Hamidi Ghalehjegh, Massoud Babaie-Zadeh, Christian Jutten:
  Fast Block-Sparse Decomposition Based on SL0. 426-433
  
• Florian Blöchl, Andreas Kowarsch, Fabian J. Theis:
  Second-Order Source Separation Based on Prior Knowledge Realized in a Graph Model. 434-441
  
• Florian Kohl, Gerd Wübbeler, Dorothea Kolossa, Clemens Elster, Markus Bär, Reinhold Orglmeister:
  Noise Adjusted PCA for Finding the Subspace of Evoked Dependent Signals from MEG Data. 442-449
  
• Marc Henniges, Gervasio Puertas, Jörg Bornschein, Julian Eggert, Jörg Lücke:
  Binary Sparse Coding. 450-457
  
• Aris Gretsistas, Mark D. Plumbley:
  A Multichannel Spatial Compressed Sensing Approach for Direction of Arrival Estimation. 458-465
  
• Fabian J. Theis, Nikola S. Müller, Claudia Plant, Christian Böhm:
  Robust Second-Order Source Separation Identifies Experimental Responses in Biomedical Imaging. 466-473
  
• Vincent Vigneron, Hsin Chen, Yen-Tai Chen, Hsin-Yi Lai, You-Yin Chen:
  Decomposition of EEG Signals for Multichannel Neural Activity Analysis in Animal Experiments. 474-481
  

Non-negativity; Image Processing Applications

• Farnood Merrikh-Bayat, Massoud Babaie-Zadeh, Christian Jutten:
  Using Non-Negative Matrix Factorization for Removing Show-Through. 482-489
  
• Ivica Kopriva, Andrzej Cichocki:
  Nonlinear Band Expansion and 3D Nonnegative Tensor Factorization for Blind Decomposition of Magnetic Resonance Image of the Brain. 490-497
  
• Antoine Liutkus, Roland Badeau, Gaël Richard:
  Informed Source Separation Using Latent Components. 498-505
  
• Koray Kayabol, Ercan E. Kuruoglu:
  Non-stationary t-Distribution Prior for Image Source Separation from Blurred Observations. 506-513
  
• Zhirong Yang, Zhanxing Zhu, Erkki Oja:
  Automatic Rank Determination in Projective Nonnegative Matrix Factorization. 514-521
  
• Wendyam Serge Boris Ouedraogo, Antoine Souloumiac, Christian Jutten:
  Non-negative Independent Component Analysis Algorithm Based on 2D Givens Rotations and a Newton Optimization. 522-529
  
• Cosmin Lazar, Danielle Nuzillard, Ann Nowé:
  A New Geometrical BSS Approach for Non Negative Sources. 530-537
  
• Ercan E. Kuruoglu:
  Dependent Component Analysis for Cosmology: A Case Study. 538-545
  

Tensors; Joint Diagonalization

• Dimitri Nion, Bart Vandewoestyne, Siegfried Vanaverbeke, Koen Van Den Abeele, Herbert De Gersem, Lieven De Lathauwer:
  A Time-Frequency Technique for Blind Separation and Localization of Pure Delayed Sources. 546-554
  
• Xavier Luciani, Laurent Albera:
  Joint Eigenvalue Decomposition Using Polar Matrix Factorization. 555-562
  
• Gen Hori:
  Joint SVD and Its Application to Factorization Method. 563-570
  

Sparsity II

• Prasad Sudhakar, Simon Arberet, Rémi Gribonval:
  Double Sparsity: Towards Blind Estimation of Multiple Channels. 571-578
  
• Rad Niazadeh, Sina Hamidi Ghalehjegh, Massoud Babaie-Zadeh, Christian Jutten:
  Adaptive and Non-adaptive ISI Sparse Channel Estimation Based on SL0 and Its Application in ML Sequence-by-Sequence Equalization. 579-587
  

Biomedical Applications

• Michel Haritopoulos, Cécile Capdessus, Asoke K. Nandi:
  Extraction of Foetal Contribution to ECG Recordings Using Cyclostationarity-Based Source Separation Method. 588-595
  
• Ronald Phlypo, Nisrine Jrad, Bertrand Rivet, Marco Congedo:
  Common SpatioTemporal Pattern Analysis. 596-603
  
• Eva L. Dyer, Marco F. Duarte, Don H. Johnson, Richard G. Baraniuk:
  Recovering Spikes from Noisy Neuronal Calcium Signals via Structured Sparse Approximation. 604-611
  
• Julie Coloigner, Laurent Albera, Ahmad Karfoul, Amar Kachenoura, Pierre Comon, Lotfi Senhadji:
  Semi-nonnegative Independent Component Analysis: The (3, 4)-SENICA^exp Method. 612-619
  
• Fengyu Cong, Anh Huy Phan, Heikki Lyytinen, Tapani Ristaniemi, Andrzej Cichocki:
  Classifying Healthy Children and Children with Attention Deficit through Features Derived from Sparse and Nonnegative Tensor Factorization Using Event-Related Potential. 620-628
  

Emerging Topics

• Alexandre Barachant, Stéphane Bonnet, Marco Congedo, Christian Jutten:
  Riemannian Geometry Applied to BCI Classification. 629-636
  
• Qing Yan, Ercan E. Kuruoglu, Xiaokang Yang, Yi Xu, Koray Kayabol:
  Separating Reflections from a Single Image Using Spatial Smoothness and Structure Information. 637-644
  
• Harold W. Gutch, Peter Gruber, Fabian J. Theis:
  ICA over Finite Fields. 645-652
  

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