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ORCID10. LVA/ICA 2012: Tel Aviv, Israel
- Fabian J. Theis, Andrzej Cichocki, Arie Yeredor, Michael Zibulevsky:
Latent Variable Analysis and Signal Separation - 10th International Conference, LVA/ICA 2012, Tel Aviv, Israel, March 12-15, 2012. Proceedings. Lecture Notes in Computer Science 7191, Springer 2012, ISBN 978-3-642-28550-9
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 S. B. 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 Ribeiro 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 W. Schuller:
Real-Time Speech Separation by Semi-supervised Nonnegative Matrix Factorization. 322-329 - Yanfeng Liang, Jonathon A. 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. Rodríguez-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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