Ten years after the first ICA workshop in Aussois (France), the series of ICA conferences has shown the liveliness of the community of theoreticians and practitioners working in this field. While ICA and blind signal separation have become mainstream topics, new approaches have emerged to solve problems involving signal mixtures or various other types of latent variables: semi-blind models, matrix factorization using SCA, NMF, PLSI, but also tensor decompositions, IVA, ISA, ... The 9th edition of the conference, renamed LVA/ICA to reflect this evolution towards more general Latent Variable Analysis problems in signal processing, will offer an interdisciplinary forum for scientists and engineers to experience renewed theoretical surprises and face real-world problems. In addition to contributed papers, the meeting will feature keynote talks by leading researchers (P. Comon, S. Mallat, M. Girolami, A. Yeredor), a community-based evaluation campaign (SiSEC 2010), a panel discussion session, and a special late-breaking / demo session.

Prospective authors are invited to submit papers in all areas of latent variable analysis and signal separation, including but not limited to:

* Theoretical frameworks: probabilistic, geometric & biologically-inspired modeling; flat, hierarchical & dynamic structures; sparse coding; kernel methods; neural networks
* Models: linear & nonlinear models; continuous & discrete latent variables; convolutive & noisy mixtures; linear & quadratic time-frequency representations
* Algorithms: blind & semi-blind estimation; identification & convergence conditions; local & evolutionary optimization; computational complexity; adaptation & modularity
* Speech and audio data: source separation; denoising & dereverberation; CASA; ASR
* Images: segmentation; fusion; texture analysis; color imaging; coding; scene analysis
* Biomedical data: functional imaging; BCI; genomic data analysis; systems biology
* Unsolved and emerging problems: causality detection; feature selection; data mining; control; psychology; social networks; finance; artificial intelligence; real-time applications
* Resources: software; databases; objective & subjective evaluation procedures

ADDITIONAL INFORMATION

Papers must be original and must not be already published nor under review elsewhere. Papers linked to a submission to SiSEC 2010 are highly welcome. The proceedings will be published in Springer-Verlag's Lecture Notes in Computer Science (LNCS) Series. Extended versions of selected papers will be considered for a special issue of a journal. The best student paper will be distinguished by an award.

IMPORTANT DATES

April 16, 2010: Extended paper submission deadline (Former deadline: April 7, 2010)
June 15, 2010: Notification of acceptance
June 30, 2010: Deadline for submitting camera-ready papers
July 31, 2010: Late-breaking/demo/SiSEC abstract submission deadline
September 27-30, 2010: Conference dates