ICArn 2006
ICA Research Network International Workshop

Liverpool, UK        18 - 19 September 2006

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Programme

  Monday
18 Septemer 2006
Tuesday
19 September 2006
08:15-09:00 Registration  
09:00-09:50 WelcomeKeynote Speech:
Christian Jutten
Session 4:
Theory & Algorithms (I)
09:50-10:20 Coffee
10:20-10:50 Session 1:
Single Channel ICA
Coffee
10:50-12:00 Session 5:
Applications of ICA (II)
12:00-12:30 Lunch
12:30-13:00 Lunch
13:00-13:30 Session 2:
Nonlinear ICA
13:30-14:30 Session 6:
ICA with Sparse Coding
14:30-15:00 Tea
15:00-15:30 Tea Session 7:
Theory & Algorithms (II)
15:30-16:40 Session 3:
Applications of ICA (I)
16:40-17:10 Workshop Ends

Keynote Speech

On the Relevance of Independent Components
C. Jutten, R. Sameni and H. Hauksdottir
Speaker: Professor Christian Jutten (INP Grenoble, France)

Session 1: Single Channel ICA

1.1 Music Score Transcription from Single Channel Mixtures
A. Ciaramella, R. Tagliaferri, L. Giordano, A. Eleuteri and L. Milano

1.2 Source Separation Using Single Channel ICA
M. Davies and C. James

1.3 Investigating Single-Channel Audio Source Separation Methods Based on Non-negative Matrix Factorization
B. Wang and M. D. Plumbley

1.4 Alphabet-Based Deflation for Blind Source Extraction in Underdetermined Mixtures
V. Zarzoso and P. Comon

1.5 Single Channel Source Extraction by Stationary Wavelet Transform and Independent Component Analysis
V. C. M. N. Leite, A. de O. Moraes, L. E. Borges and A. K. Barros

Session 2: Nonlinear ICA

2.1 Blind Source Separation with Non-Stationary Mixing Using Wavelets
W. D. Addison and S. J. Roberts

2.2 Post-Nonlinear Overcomplete ICA by Bayesian Statistics
C. Wei, L. C. Khor, W. L. Woo and S. S. Dlay

2.3 Generalised Polynomial Neural Network Method to Nonlinear Independent Component Analysis
P. Gao, W. L. Woo and S. S. Dlay

2.4 Maximizing Entropy for Estimating Nonlinearities in PNL Source Separation
J. Solé-Casals and C. Jutten

2.5 An Evaluation of Different Approaches for Overcomplete Independent Component Analysis
I. Hahn and M. Borschbach

2.6 Gaussian Processes for ICA
G. Leen, M. Crowe and C. Fyfe

Session 3: Applications of ICA (I)

3.1 Low-Complexity Blind Multiple-Input Multiple-Output OFDM Receivers Based on ICA
L. Sarperi, X. Zhu and A. K. Nandi

3.2 Using BSS Algorithms in Alamouti Space-Time Block Coding Schemes
H. J. Perez-Iglesias, A. Dapena and J. A. Garcia-Naya

3.3 New Source Separation Method for Cyclostationary Sources and its Application to Roller Bearing Vibrations
N. Bouguerriou, C. Capdessus and A. K. Nandi

3.4 ICA with the EM Algorithm in the Low Noise Case
X. Zhao and M. Davies

3.5 Non-Guassianity and Image Deblurring
H. Yin and I. Hussain

Session 4: Theory & Algorithms (I)

4.1 Boosting Nonlinear Principal Component Analysis
Y. Wu and C. Fyfe

4.2 Factorisation of Positive Valued Functions for Analysing Galaxy Spectra
A. Kaban, L. Nolan and S. Raychaudhury

4.3 A Neural Architecture for Blind Source Separation
E. Tapia and R. Rojas

4.4 Real and Complex Independent Subspace Analysis by Generalized Variance
Z. Szabó and A. Lorincz

Session 5: Applications of ICA (II)

5.1 Independent Component Analysis Applied on Multi-Channel Auditory Steady-State Response Measurements
B. Van Dun, J. Wouters and M. Moonen

5.2 Preliminary Guidelines for Subjective Evaluation of Audio Source Separation Algorithms
E. Vincent, M. G. Jafari and M. D. Plumbley

5.3 Cross-Talk Reduction of Two Forearm Muscles’ Surface Electromyographic Signals by JADE Algorithm
G. A. Garcia and P. Dario

5.4 Comparing Principal and Independent Modes of Variation in 3D Human Torso Shape Using PCA and ICA
A. Ruto, B. Buxton and M. Lee

5.5 Blind Source Separation of Convolutive Audio Using an Adaptive Stereo Basis
M. G. Jafari, E. Vincent, S. A. Abdallah, M. D. Plumbley and M. Davies

Session 6: ICA with Sparse Coding

6.1 MEG Analysis Using Sparse Coding
K. Watanabe, N. Murata, D. Ito and T. Kuroda

6.2 Blind Separation of Maternal and Fetal ECG Recordings Using Adaptive Sparse Representations
T. Blumensath and M. Davies

6.3 A Signal-Adaptive Local Cosine Transform for Source Separation by Time-Frequency Masking
A. Nesbit, M. Plumbley and M. Davies

Session 7: Theory & Algorithms (II)

7.1 Diagonalization of Time-Delayed Covariance Matrices does not guarantee Statistical Independence in High-Dimensional Feature Space
T. Zito and L. Wiskott

7.2 Efficient Dual Cayley Parametrization Technique for ICA with Orthogonality Constraints
N. Quinquis and I. Yamada

7.3 Data Clustering Methods Based on Mixture of Independent Component Analyzers
L. Vergara, A. Salazar, J. Igual and A. Serrano

7.4 An Overview of the Different Solutions for the Permutaion Problem in Frequency Domain ICA
M. Charwath and M. Borschbach

7.5 Interacting Source Analysis - Identifying Interactions in Mixed and Noisy Complex Systems
F. C. Meinecke, A. Ziehe, G. Nolte and K.-R. Muller

See also
- Accepted Papers
- Information for Presenters

Last Updated: 05-Sep-2006