Cfp: LVA 2015 (12th International Conference on Latent Variable Analysis and Signal Separation)

[Emmanuel Vincent <emmanuel.vincent@xxxxxxxx>]

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        LVA 2015 - 12th International Conference on
       Latent Variable Analysis and Signal Separation

        August 24-26, 2015, Liberec, Czech Republic

                  http://amca.cz/lva2015/
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*About LVA*
LVA 2015 will be the 12th in a series of international conferences which 
attracted hundreds of researchers and practitioners over the years. 
Since its start in 1999 under the banner of Independent Component 
Analysis and Blind Source Separation (ICA), the conference has 
continuously broadened its horizons. It encompasses today a host of 
additional forms and models of general mixtures of latent variables. 
Theories and tools borrowing from the fields of signal processing, 
applied statistics, machine learning, linear and multilinear algebra, 
numerical analysis and optimization, and numerous application fields 
offer exciting interdisciplinary interactions.

*Highlights*
The conference will be preceded by a Summer School on Latent Variable 
Analysis and Signal Separation and it will feature the much-awaited 
results of the 5th Signal Separation Evaluation Campaign (SiSEC 2015).

Keynote talks will be given by three leading researchers:
- Tülay Adali (University of Maryland, Baltimore County, USA)
- Rémi Gribonval (Inria, France)
- DeLiang Wang (Ohio State University, USA)


*Call for Papers*
The proceedings will be published in Springer-Verlag's Lecture Notes in 
Computer Science Series (LNCS). Prospective authors are invited to 
submit original papers (up to 8 pages in LNCS format) in areas related 
to latent variable analysis and signal separation, including but not 
limited to:

- Theory: sparse coding, dictionary learning; statistical and 
probabilistic modeling; detection, estimation and performance criteria 
and bounds; causality measures; learning theory; convex/nonconvex 
optimization tools

- Models: general linear or nonlinear models of signals and data; 
discrete, continuous, flat, or hierarchical models; multilinear models; 
time-varying, instantaneous, convolutive, noiseless, noisy, 
over-complete, or under-complete mixtures

- Algorithms: estimation, separation, identification, detection, blind 
and semi-blind methods, non-negative matrix factorization, tensor 
decomposition, adaptive and recursive estimation; feature selection; 
time-frequency and wavelet based analysis; complexity analysis

- Applications: speech and audio separation, recognition, 
dereverberation and denoising; auditory scene analysis; image 
segmentation, separation, fusion, classification, texture analysis; 
biomedical signal analysis, imaging, genomic data analysis, 
brain-computer interface

- Emerging related topics: sparse learning; deep learning; social 
networks; data mining; artificial intelligence; objective and subjective 
performance evaluation.


*Special Sessions*
The program will also feature special sessions on new or emerging topics 
of interest. Proposals for special sessions must include the session 
title, rationale, outline, and a list of 4 to 6 invited papers. To 
submit, see http://amca.cz/lva2015/.


*Important Dates*
Jan 16, 2015: Submission of special session proposals
Jan 30, 2015: Special session decisions announced
Mar 27, 2015: Paper submission deadline
May 22, 2015: Notification of acceptance
Jun 12, 2015: Submission of camera-ready papers
Aug 26-28, 2015: Conference dates


*Organizing Committee*
General chairs:
Zbynek Koldovsky (Technical University of Liberec, Czech Republic)
Petr Tichavsky (Academy of Sciences, Czech Republic)

Program chairs:
Arie Yeredor (Tel-Aviv University, Israel)
Emmanuel Vincent (Inria, France)

Special sessions: Shoji Makino (University of Tsukuba, Japana)

SiSEC chair: Nobutaka Ono (NII, Japan)

Overseas liaison: Andrzej Cichocki (RIKEN, Japan)