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

Subject: Cfp: LVA 2015 (12th International Conference on Latent Variable Analysis and Signal Separation)
From:    Emmanuel Vincent  <emmanuel.vincent@xxxxxxxx>
Date:    Sun, 7 Sep 2014 16:11:42 +0200

---------------------------------------------- LVA 2015 - 12th International Conference on Latent Variable Analysis and Signal Separation August 24-26, 2015, Liberec, Czech Republic ---------------------------------------------- *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 *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)

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