Journal of Machine Learning Research Special Issue on  "Independent Component Analysis" Guest Editors: Te-Won Lee, Jean-Francois Cardoso, Erkki Oja, Shun-Ichi Amari http://www.jmlr.org/jmlr-ica.html

Important dates:  Submission deadline:  Oct. 1st, 2002 Decision:  March 1st, 2003 (delayed) Final Papers:  May 1st, 2003

CALL FOR PAPERS We invite papers on Independent Component Analysis (ICA) and Blind Source Separation (BSS) for a special issue in the Journal of Machine Learning Research (on-line publication and subsequent publication from MIT Press). In recent years, ICA has received attention from many research areas including statistical signal processing, machine learning, neural networks, information theory and exploratory data analysis. Applications of ICA algorithms in speech signal processing and biomedical signal processing are growing and maturing and ICA methods are also considered in many other fields where this novel data analysis technique provides new insights. Recent approaches to ICA such as variational methods, kernel methods and tensor methods have lead to new theoretical insights. They permit us to relax some of the constraints in the traditional ICA assumptions yielding new algorithms and increasing the domains of application. Certain nonlinear mixing systems can be inverted, more sources than the number of sensors can be recovered, and further understanding of the convergence properties and gradient optimizations are now available. The ICA framework is an interdisciplinary research area. The combination of ideas from machine learning and statistical signal processing is a developing avenue of research and ICA is a first step into this new direction. We invite original contributions that explore theoretical and practical issues related to ICA. A list of possible topics include: Theory and Algorithms Bayesian methods Information theoretic approaches  High order statistics Convolutive mixtures Convergence and stability issues Graphical models Nonlinear mixing Undercomplete mixtures Sparse coding Methodology and Applications Biomedical applications Speech signal processing Image processing Performance comparisons  Model validation Dimension reduction and visualization  Learning features in high dimensional data Submission procedure (Updated!) For this special issue,  JMLR will be using the Journalsoft electronic submission management system. To submit your paper, please Prepare it in PDF, Postscript, or Microsoft Word format Ensure that the title page contains  complete name, post and e-mail address of the corresponding author;  a condensed running title of fifty (50) characters or less a list of five key-words an abstract that does not exceed 200 words Go to www.journalsoft.com/jmlr, register and log in Select the author->new manuscript tab and follow the directions Be sure to indicate "Special Issue on ICA" in the information for editors box After submitting the paper, you will receive automated email with a confirmation URL. Selecting the URL will confirm your submission and allow you to track its progress. Important Dates - Submission: October, 1^st 2002 - Decision: January, 1^st 2003 - Final: March, 1^st 2003 For further details or enquiries please contact the guest editors Links:  http://www-sig.enst.fr/~ica99/ http://www.cis.hut.fi/ica2000 http://www.ica2001.org http://ica2003.jp