Call for Papers

The 2018 International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA, will be the 14th in a series of interdisciplinary conferences which have attracted hundreds of researchers and practitioners over the years.

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The proceedings will be published in Springer-Verlag’s Lecture Notes in Computer Science (LNCS). Prospective authors are invited to submit original papers related to the topics outlined below and should be 8-10 pages in LNCS format. Papers must be original and must not be already published nor under review elsewhere (see this page for information on publishing ethics). Authors should visit the guidelines page before submitting the title and abstract (due by February 4th), and uploading the complete version of the paper (due by February 7th). Please note that deadline dates apply anywhere on earth.

Guidelines


Topics

Prospective authors are invited to submit original papers in all 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
  • 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
    • Non-conventional signals (e.g. graph signals, quantum sources)
  • Emerging related topics:
    • Sparse learning
    • Deep learning
    • Social networks
    • Data mining
    • Artificial intelligence
    • Objective and subjective performance evaluation

Important Dates

Submission deadline (extended) 15/01/2018
04/02/2018
Full paper submission deadline 07/02/2018
Notification of acceptance 19/03/2018
Submission of separation results 01/04/2018
Author registration 06/04/2018
Camera ready submission 06/04/2018
University accommodation booking deadline 12/04/2018
Summer School 02/07/2018
Conference 03-05/07/2018
Audio Day 06/07/2018