ICA 2007

ICA 2007
7th International Conference on
Independent Component Analysis
and Signal Separation

London, UK        9 - 12 September 2007

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Programme

This programme is believed to be correct at time of publication. Any last-minute changes will be notified during the conference.


TIME
Sunday
9 Sept
Monday
10 Sept
Tuesday
11 Sept
Wednesday
12 Sept
8:00-9:00   Registration    
8:30-9:00 Registration Registration
9:00-9:20 Opening Session 2.1
Sparsity II
Keynote Speaker:
Shoji Makino
9:20-10:00 Keynote Speaker:
Scott
Makeig
10:00-10:20 Session 3.1
Theory
10:20-10:40 Session 1.1
Algorithms I
10:40-11:00 Break
11:00-11:10 Break Break
11:10-11:30 (Lunch not provided: see Restaurant Suggestions) Session 2.2
Biomedical
11:30-12:30

Session 1.2
Sparsity I 
 
 
 

Session 3.2
Audio
12:30-12:50 Registration
12:50-13:30 Lunch &
Posters
Lunch &
Posters
Lunch &
Posters
13:30-14:50
 
Tutorial 1:
Sparse Represen- tations
 
 
 
 
14:50-15:30

Session 1.3
Applications I 
 

Session 2.3
Independent Subspaces
 
Panel Session
Evaluation
15:30-15:50 Break
15:50-16:00 Break Closing
16:00-16:10 Tutorial 2:
Information Filtering
ICA 2007
ENDS
16:10-16:20 Break
16:20-16:40 Session 2.4
Algorithms II
 
16:40-17:00 Session 1.4
Applications II
17:00-17:20
 
17:20-18:00
 
 
18:00-   Welcome Reception Buses to Banquet
Evening Restaurants: see Restaurant Suggestions   Conference Banquet
at the Trafalgar Tavern

Locations

The conference venue is the Mile End Campus of Queen Mary University of London. Oral sessions will take place in the Skeel Lecture Theatre in the People's Palace. Tea/coffee breaks and lunch/poster sessions take place in the Octagon.


Technical Programme (Provisional)

Sunday 9 September 2007: Tutorials
12:30 Registration
People's Palace Foyer
13:30
-
15:30
Tutorial 1: Sparse Representations
Remi Gribonval
IRISA-INRIA, France
15:30 Break
16:00
-
18:00
Tutorial 2: Information Filtering
Jose C. Principe
University of Florida, Gainesville, USA

Monday 10 September 2007: Day 1
08:00 Registration
People's Palace Foyer
Poster set-up
Octagon
09:00 Opening
Skeel
  Welcome & Opening Remarks
Adrian Smith, Principal of Queen Mary, Univeristy of London
Mark Plumbley, General Chair, ICA 2007
09:20 Keynote Talk
Skeel
  Scott Makeig
Institute for Neural Computation, UCSD, USA
10:20 Algorithms I (1.1)
Skeel
 Robust Independent Component Analysis using Quadratic Negentropy
Jaehyung Lee, Taesu Kim, and Soo-Young Lee
 Independent Process Analysis without A Priori Dimensional Information
Barnabás Póczos, Zoltán Szabó, Melinda Kiszlinger, and András Lörincz
11:00 Coffee Break
Octagon
11:30Sparsity I (1.2)
Skeel
 Identifiability conditions and subspace clustering in sparse BSS
Pando Georgiev, Fabian J. Theis, and Anca Ralescu
 Two improved sparse decomposition methods for Blind Source Separation
B. Vikrham Gowreesunker and Ahmed H. Tewfik
 Infinite Sparse Factor Analysis and Infinite Independent Components Analysis
David Knowles and Zoubin Ghahramani
 Dictionary Learning for L1-Exact Sparse Coding
Mark D. Plumbley
12:50Lunch & Posters
Octagon
Poster I (1.P)
Octagon
 The complex version of the minimum support criterion
Sergio Cruces, Auxiliadora Sarmiento, and Iván Durán
 Optimal Joint Diagonalization of Complex Symmetric Third-Order Tensors: Application to Separation of Non Circular Signals
Christophe De Luigi and Eric Moreau
 Imposing independence constraints in the CP model
Maarten De Vos, Lieven De Lathauwer, and Sabine Van Huffel
 Blind Source Separation of a Class of Nonlinear Mixtures
Leonardo Tomazeli Duarte and Christian Jutten
 Optimization on the orthogonal group for Independent Component Analysis
Michel Journée, Pierre-Antione Absil, and Rodolphe Sepulchre
 Using State Space Differential Geometry for Nonlinear Blind Source Separation
David N. Levin
 Shifted Independent Component Analysis
Morten Mørup, Kristoffer H. Madsen, and Lars K. Hansen
 Non Unitary Joint Block Diagonalization of Complex Matrices Using a Gradient Approach
Hicham Ghennioui, Nadège Thirion-Moreau, Eric Moreau, Abdellah Adib, and Driss Aboutajdine
 Blind separation of cyclostationary sources using joint block approximate diagonalization
Dinh-Tuan Pham
 Blind audio source separation using sparsity based criterion for convolutive mixture case
Abdeldjalil Aïssa-El-Bey, Karim Abed-Meraim, and Yves Grenier
 Maximization of Component Disjointness: a Criterion for Blind Source Separation
Jörn Anemüller
 Morphological diversity and sparsity in blind source separation
Jerome Bobin, Yassir Moudden, Jalal Fadili, and Jean-Luc Starck
 Probabilistic Geometric Approach to Blind Separation of Time-Varying Mixtures
Ran Kaftory and Yehoshua Y. Zeevi
 Blind Signal Deconvolution as an Instantaneous Blind Separation of Statistically Dependent Sources
Ivica Kopriva
 Solving the Permutation Problem in Convolutive Blind Source Separation
Radoslaw Mazur and Alfred Mertins
  Discovering Convolutive Speech Phones using Sparseness and Non-Negativity
Paul D. O'Grady and Barak A. Pearlmutter
 Gradient Convolution Kernel Compensation applied to Surface Electromyograms
Ales Holobar and Damjan Zazula
 Blind Matrix Decomposition Techniques to Identify Marker Genes From Microarrays
Reinhard Schachtner, Dominik Lutter, Fabian J. Theis, Elmar W. Lang, Ana Maria Tomé, Juan Manuel Gorriz Saez, and Carlos G. Puntonet
 Specific Circumstances on the Ability of Linguistic Feature Extraction based on Context Preprocessing by ICA
Markus Borschbach and Martin Pyka
 Blind Signal Separation Methods for the Identification of Interstellar Carbonaceous Nanoparticles
Olivier Berné, Yannick Deville, and Christine Joblin
 An application of ICA to BSS in a Container Gantry Crane Cabin's model
Juan-José González de-la-Rosa, Carlos G. Puntonet, Antonio Moreno Muñoz, Antonio Illana, and Juan Antonio Carmona
 Blind Instantaneous Noisy Mixture Separation with Best Interference-plus-noise Rejection
Zbynek Koldovský and Petr Tichavský
 ICA-based Image Analysis for Robot Vision
Naoya Ohnishi and Atsushi Imiya
 Channel estimation for O-STBC MIMO systems using fourth-order cross-cumulants
Héctor J. Pérez-Iglesias and Adriana Dapena
 Image Similarity based on Hierarchies of ICA Mixtures
Arturo Serrano, Addisson Salazar, Jorge Igual, and Luis Vergara
 Noisy Independent Component Analysis as a Method of Rotating the Factor Scores
Steffen Unkel and Nickolay T. Trendafilov
14:50Applications I (1.3)
Skeel
  Conjugate Gamma Markov random fields for modelling nonstationary sources
A. Taylan Cemgil and Onur Dikmen
  Learning of translation-invariant independent components: Multivariate anechoic Mixtures
Lars Omlor and Martin A. Giese
  Top-Down versus Bottom-up Processing in the Human Brain: Distinct Directional Influences Revealed by Integrating SOBI and Granger Causality
Akaysha C. Tang, Matthew T. Sutherland, Peng Sun, Yan Zhang, Masato Nakazawa, Amy Korzekwa, Zhen Yang, and Mingzhou Ding
  ICA in Boolean XOR Mixtures
Arie Yeredor
16:10 Tea Break
Octagon
16:40 Applications II (1.4)
Skeel
  Blind Separation of Quantum States: Estimating Two Qubits from an Isotropic Heisenberg Spin Coupling Model
Yannick Deville and Alain Deville
  Blind Separation of Non-stationary Images using Markov Models
Rima Guidara, Shahram Hosseini, and Yannick Deville
  System Identification in Structural Dynamics using Blind Source Separation Techniques
Fabien Poncelet, Gaëtan Kerschen, Jean-Claude Golinval, and Frédéric Marin
  Text Clustering on Latent Thematic Spaces: Variants, Strengths and Weaknesses
Xavier Sevillano, Germán Cobo, Francesc Alías, and Joan Claudi Socoró
18:00 Welcome Reception
Octagon

Tuesday 11 September 2007: Day 2
09:00 Sparsity II (2.1)
Skeel
  Estimator for Number of Sources using Minimum Description Length Criterion for Blind Sparse Source Mixtures
Radu Balan
  Compressed Sensing and Source Separation
Thomas Blumensath and Mike Davies
  Sparse Component Analysis in Presence of Noise Using an Iterative EM-MAP Algorithm
Hadi Zayyani, Massoud Babaie-Zadeh, G. Hosein Mohimani, and Christian Jutten
  Fast Sparse Representation based on Smoothed L0 Norm
G. Hosein Mohimani, Massoud Babaie-Zadeh, and Christian Jutten
  Supervised and semi-supervised separation of sounds from single-channel mixtures
Paris Smaragdis, Bhiksha Raj, and Madhusudana Shashanka
10:40 Coffee Break
Octagon
11:10Biomedical (2.2)
Skeel
  Space-Time ICA and EM Brain Signals
Mike Davies, Christopher James, and Suogang Wang
  Extraction of gastric electrical response activity from magnetogastrographic recordings by DCA
Carlos Alberto Estombelo-Montesco, Dráulio B. De Araújo, Antônio C. Roque, Eder R. Moraes, Allan K. Barros, Ronald T. Wakai, and Oswaldo Baffa
  Independent Component Analysis of Functional Magnetic Resonance Imaging Data Using Wavelet Dictionaries
Robert Johnson, Jonathan Marchini, Stephen Smith, and Christian Beckmann
  Extraction of Atrial Activity from the ECG by Spectrally Constrained ICA Based on Kurtosis Sign
Ronald Phlypo, Vicente Zarzoso, Pierre Comon, Yves D'Asseler, and Ignace Lemahieu
  Subspaces of Spatially Varying Independent Components in fMRI
Jarkko Ylipaavalniemi and Ricardo Vigário
12:50 Lunch & Posters
Octagon
Poster 2 (2.P)
Octagon
 Blind separation of instantaneous mixtures of dependent sources
Marc Castella and Pierre Comon
 A sufficient condition for the unique solution of non-negative tensor factorization
Toshio Sumi and Toshio Sakata
 On the Relationships Between Power Iteration, Inverse Iteration and FastICA
Hao Shen and Knut Hüper
 A variational Bayesian algorithm for BSS problem with hidden Gauss-Markov Models for the sources
Nadia Bali and Ali Mohammad-Djafari
 A New Source Extraction Algorithm for Cyclostationary Sources
Cécile Capdessus, Asoke K. Nandi, and Noureddine Bouguerriou
 Stable Higher-Order Recurrent Neural Network Structures for Nonlinear Blind Source Separation
Yannick Deville and Shahram Hosseini
 A Robust Complex FastICA Algorithm Using the Huber M-Estimator Cost Function
Jih-Cheng Chao and Scott C. Douglas
 Pivot selection strategies in Jacobi joint block-diagonalization
Cédric Févotte and Fabian J. Theis
 An Algebraic Non Orthogonal Joint Block Diagonalization Algorithm for Blind Source Separation of Convolutive Mixtures of Sources
Hicham Ghennioui, El Mostafa Fadaili, Nadège Thirion-Moreau, Abdellah Adib, and Eric Moreau
 Speeding up FastICA by Mixture Random Pruning
Sabrina Gaito and Giuliano Grossi
 An Eigenvector Algorithm with Reference Signals using a Deflation Approach for Blind Deconvolution
Mitsuru Kawamoto, Yujiro Inouye, Kiyotaka Kohno, and Takehide Maeda
 An Evolutionary Approach for Blind Inversion of Wiener Systems
Fernando Rojas, Jordi Solé-Casals, and Carlos G. Puntonet
 Speed and Accuracy Enhancement of Linear ICA Techniques Using Rational Nonlinear Functions
Petr Tichavský, Zbynek Koldovský, and Erkki Oja
 Smooth Component Analysis as Ensemble Method for Prediction Improvement
Ryszard Szupiluk, Piotr Wojewnik, and Tomasz Zabkowski
 Kernel-Based Nonlinear Independent Component Analysis
Kun Zhang and Laiwan Chan
 Estimating the mixing matrix in Sparse Component Analysis based on converting a multiple dominant to a single dominant problem
Nima Noorshams, Massoud Babaie-Zadeh, and Christian Jutten
 Blind Vector Deconvolution: Convolutive Mixture Models in Short-time Fourier Transform Domain
Atsuo Hiroe
 A Batch Algorithm for Blind Source Separation of Acoustic Signals using ICA and Time-Frequency Mask
Eugen Hoffmann, Dorothea Kolossa, and Reinhold Orglmeister
 Frequency-domain implementation of a time-domain blind separation algorithm for convolutive mixtures
Masashi Ohata and Kiyotoshi Matsuoka
 'Shadow BSS' for Blind Source Separation in Rapidly Time-Varying Acoustic Scenes
Stefan Wehr, Anthony Lombard, Herbert Buchner, and Walter Kellermann
 Constrained ICA for the Analysis of High Stimulus Rate Auditory Evoked Potentials
James Harte
 Perception of Transformation-invariance in the Visual Pathway
Wenlu Yang, Liqing Zhang, and Libo Ma
 Multi-Modal ICA Exemplified on Simultaneously Measured MEG and EEG Data
Heriberto Zavala-Fernandez, Tilmann H. Sander, Martin Burghoff, Reinhold Orglmeister, and Lutz Trahms
 Compact representations of market securities using smooth component extraction
Hariton Korizis, Nikolaos Mitianoudis, and Anthony G. Constantinides
 A Novel ICA-Based Image/Video Processing Method
Qiang Zhang, Jiande Sun, Ju Liu, and Xinghua Sun
14:50Independent Subspaces (2.3)
Skeel
  Independent Subspace Analysis is unique, given irreducibility
Harold W. Gutch and Fabian J. Theis
 Modeling and Estimation of Dependent Subspaces with Non-Radially Symmetric and Skewed Densities
Jason A. Palmer, Ken Kreutz-Delgado, Baskar D. Rao, and Scott Makeig
 Colored subspace analysis
Fabian J. Theis and Motoaki Kawanabe
15:50 Tea Break
Octagon
16:20Algorithms II (2.4)
Skeel
  A Complexity Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing
Jia Sen and Yuntao Qian
 Comparative Speed Analysis of FastICA
Vicente Zarzoso and Pierre Comon
 Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization
Andrzej Cichocki, Rafal Zdunek, and Shun-ichi Amari

Wednesday 12 September 2007: Day 3
09:00 Keynote Talk
Skeel
  Shoji Makino
NTT Communication Science Laboratories, Kyoto, Japan
10:00Theory (3.1)
Skeel
 A flexible component model for precision ICA
Jean-François Cardoso and Maude Martin
 Copula Component Analysis
Jian Ma and Zengqi Sun
 Is the general form of Renyi's entropy a contrast for source separation?
Frédéric Vrins, Dinh-Tuan Pham, and Michel Verleysen
11:00 Coffee Break
Octagon
11:30 Audio (3.2)
Skeel
  Mutual Interdependence Analysis (MIA)
Hieko Claussen, Justinian Rosca, and Robert Damper
  Modeling Perceptual Similarity of Audio Signals for Blind Source Separation
Brendan Fox, Andrew Sabin, Bryan Pardo, and Alec Zopf
  Probabilistic Amplitude Demodulation
Richard E. Turner and Maneesh Sahani
  First Stereo Audio Source Separation Evaluation Campaign: Data, Algorithms and Results
Emmanuel Vincent, Hiroshi Sawada, Pau Bofill, Shoji Makino, and Justinian P. Rosca
12:50Lunch & Posters
Octagon
Poster 3 (3.P)
Octagon
 On Separation of Signal Sources using Kernel Estimates of Probability Densities
Oleg Michailovich and Douglas Wiens
 A toolbox for model-free analysis of fMRI data
Peter Gruber, Christian Kohler, and Fabian J. Theis
 Linear Prediction Based Blind Source Extraction Algorithms in Practical Applications
Zhi-Lin Zhang and Liqing Zhang
 Image Compression by Redundancy Reduction
Carlos Magno Sousa, André Borges Cavalcante, Denner Guilhon, and Allan Kardec Barros
 Beamforming Initialization and Data Prewhitening in Natural Gradient Convolutive Blind Source separation of Speech Mixtures
Malay Gupta and Scott C. Douglas
 The role of high frequencies in convolutive blind source separation of speech signals
Maria G. Jafari and Mark D. Plumbley
 Signal Separation by Integrating Adaptive Beamforming with Blind Deconvolution
Kostas Kokkinakis and Philipos C. Loizou
 Phase-Aware Non-Negative Spectrogram Factorization
R. Mitchell Parry and Irfan Essa
 Evaluation of Propofol Effects in Atrial Fibrillation Using Principal and Independent Component Analysis
Raquel Cervigón, Conor Heneghan, Javier Moreno, Francisco Castells, and José Millet
 ECG Compression by Efficient Coding
Denner Guilhon, Allan K. Barros, and Silvia Comani
 Detection of Paroxysmal EEG Discharges using Multitaper Blind Signal Source Separation
Jonathon J. Halford
 Multivariate Analysis of fMRI Group Data using Independent Vector Analysis
Jong-Hwan Lee, Te-Won Lee, Ferenc A. Jolesz, and Seung-Schik Yoo
 Bayesian Estimation of Overcomplete Independent Feature Subspaces for Natural Images
Libo Ma and Liqing Zhang
 Multilinear Independent Component Analysis and Dimensionality Reduction
M. Alex O. Vasilescu and Demetri Terzopoulos
 

Stereo Audio Source Separation Evaluation Campaign (SASSEC) Posters:

  Underdetermined Source Separation using Mixtures of Warped Laplacians
Nikolaos Mitianoudis and Tania Stathaki
  Complex Nonconvex lp Norm Minimization for Underdetermined Source Separation
Emmanuel Vincent
 

Plus other SASSEC Posters from:
- Shoko Araki
- Pau Bofill
- Vikrham Gowreesunker
- Yosuke Izumi
- Hiroshi Sawada
- Ming Xiao

14:50Panel session: Evaluation (3.3)
Skeel
 

Panellists:
- Emmanuel Vincent (IRISA)
- Hiroshi Sawada (NTT Communication Science Labs)
- Pau Bofill (Universitat Politecnica de Catalunya)
- Jon Barker (University of Sheffield)
- Mike Lincoln (University of Edinburgh)

15:50 Closing Remarks
Mark Plumbley
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