[AUDITORY] 1st CFP: LVA/ICA 2018 (14th International Conference on Latent Variable Analysis and Signal Separation) (Hagen Wierstorf )


Subject: [AUDITORY] 1st CFP: LVA/ICA 2018 (14th International Conference on Latent Variable Analysis and Signal Separation)
From:    Hagen Wierstorf  <h.wierstorf@xxxxxxxx>
Date:    Fri, 8 Sep 2017 12:41:07 +0100
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== CALL FOR PAPERS - LVA/ICA == 14th International Conference on Latent Variable Analysis and Signal Separation July 2-6 2018 University of Surrey, Guildford, UK http://cvssp.org/events/lva-ica-2018 Paper submission deadline: January 15th, 2018 The international conference on Latent Variable Analysis and Signal Separation, LVA/ICA, is an interdisciplinary forum where researchers and practitioners can experience a broad range of exciting theories and applications involving signal processing, applied statistics, machine learning, linear and multilinear algebra, numerical analysis and optimization, and other areas targeting Latent Variable Analysis problems. We are pleased to invite you to submit research papers to the 14th LVA/ICA which will be held at the University of Surrey, Guildford, UK, from the 2nd to the 6th of July, 2018. The conference is organized by the Centre for Vision, Speech and Signal Processing (CVSSP); and the Institute of Sound Recording (IoSR). == Topics == The proceedings will be published in Springer-Verlag's Lecture Notes in Computer Science (LNCS). Prospective authors are invited to submit original papers (8-10 pages in LNCS format) in areas related to latent variable analysis, independent component 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 * sketching and censoring for large scale data - 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 * Low-rank models, graph models, online models - 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 * Non-conventional signals (e.g. graph signals, quantum sources) - 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 == Important Dates == Paper submission deadline: January 15, 2018 Notification of acceptance: March 12, 2018 Camera ready submission: April 16, 2018 Summer School: July 2, 2018 Conference: July 3-6, 2018 For further information and updates, please visit the conference website: http://cvssp.org/events/lva-ica-2018 We look forward to your participation, The LVA/ICA 2018 Organizing Committee Email: lva.ica.2018[at]gmail[dot]com


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