Special Issue on Latent Variable Analysis and Signal Separation

Special issue on Latent Variable Analysis and Signal Separation

Relevance and significance:

The organizers of LVA-ICA 2010 are planning a special issue on Latent Variable Analysis and Independent Component Analysis. Contributions are solicited until December 15th, 2010.

While independent component analysis and blind signal separation have become mainstream topics, new approaches have emerged to solve problems involving (non)linear signal mixtures or various other types of latent variables, such as semi-blind models and matrix or tensor decompositions. All these recent topics lead to new developments and promising applications. They are the main goals of the conference LVA-ICA 2010 which will take place in Saint-Malo, France from September 27 to 30, 2010.

The aim of this special issue is to provide up to date developments on Latent Variable Analysis and Signal Separation, including theoretical analysis, algorithms and applications. A special selection, based on the contributions to the above conference, will be invited to propose extended “invited papers” to the special issue. Authors who did not attend the conference but are active in these areas of research are also highly encouraged to submit their work to the special issue.

Examples of topics relevant to the special issue include:

Non-negative matrix factorization, Joint tensor factorization Latent variables Source separation (Non)linear ICA Noisy ICA BSS/ICA applications (image analysis, speech and audio data, encoding of natural scenes and sound , telecommunication, data mining, medical data processing, genomic data analysis, finance, etc.) Unsolved and emerging problems: causality detection; feature selection, data mining,...

Time Scale: December, 15th 2010: Deadline for submitting papers Avril, 30s 2011: Acceptance of papers July , 15th 2011: Revised final manuscript version December, 15th 2011 : Publication

Method of review: The review process will be rigorous. It will be done by leading researchers by invitation and each paper will have 3 reviews.

Guest Editors: Vincent Vigneron, Université d’EVE, France Remi Gribonval, INRIA, France Emmanuel Vincent, INRIA, France Vicente Zarsozo, INRIA Sophia Antipolis, France Terence Sejnowski, Salk nstitute, USA Short biography Emmanuel Vincent received the mathematics degree of the École Normale Supérieure, Paris, France, in 2001 and the Ph.D. degree in signal processing from the University of Paris-VI Pierre et Marie Curie, Paris, in 2004. From 2004 to 2006, he has been a Research Assistant with the Centre for Digital Music at Queen Mary, University of London, London, U.K.. He is now a permanent researcher with the French National Institute for Research in Computer Science and Control (INRIA). His research focuses on probabilistic modeling of audio signals applied to blind source separation, information retrieval and coding of musical audio. He is the initiator and former chairman of the yearly Signal Separation Evaluation Campaign (SiSEC).

Vincent Vigneron, received the Ph.D. degree in signal processing from the University d'Evry in 1997 and his Habilitation à Diriger des Recherches from the University of Evry, France, in 2007. From 1997 to 1998, he has been a Postdoc at the SAMOS laboratory, University of Sorbonne, Paris 1, France with whom he collaborates as a research assistant. He is now a permanent researcher at the group of image and signal processing. Since 2008, he is a visiting professor at the Hsin Hua University of Taiwan. His research focuses on source separation, interval analysis, statistical signal processing and applications to bioelectrical signals.

R. Gribonval graduated from Ecole Normale Superieure, Paris, France in 1997. He received the Ph. D. degree in applied mathematics from the University of Paris-IX Dauphine, Paris, France, in 1999, and his Habilitation à Diriger des Recherches in applied mathematics from the University of Rennes I, Rennes, France, in 2007. He is a Senior Member of the IEEE. From 1999 until 2001 he was a visiting scholar at the Industrial Mathematics Institute (IMI) in the Department of Mathematics, University of South Carolina, SC. He is now a Senior Research Scientist (Directeur de Recherche) with INRIA (the French National Center for Computer Science and Control) at IRISA, Rennes, France, in the METISS group. His research focuses on sparse approximation, mathematical signal processing and applications to multichannel audio signal processing, with a particular emphasis in blind audio source separation and compressed sensing. Since 2002 he has been the coordinator of several national, bilateral and european research projects, and in 2008 he was elected a member of the steering committee for the international conference ICA on independent component analysis and source separation.

Eric Moreau was born in Lille, France. He graduated from the `Ècole Nationale Superieure des Arts et Métiers'' (ENSAM), Paris, France, in 1989 and received the `Àgrégation de Physique'' degree from the `Ècole Normale Supérieure de Cachan'' in 1990. He received the DEA degree in 1991 and the Ph.D. Degree in 1995, both in the field of signal processing and from the University of Paris-Sud, France. From 1995 to 2001, he was assistant professor within the Telecommunications Department of the Engineering School `Ìnstitut des Sciences de l'Ingénieur de Toulon et du Var'' (ISITV), La Valette, France. He is currently a Professor with the University of Toulon, France. His main research interests are in statistical signal processing using high-order statistics.