MLSP 2016 - 2016 IEEE International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING

The 26th MLSP workshop in the series of workshops organized by the IEEE Signal Processing Society MLSP Technical Committee will present the most recent and exciting advances in machine learning for signal processing through keynote talks, tutorials, as well as special and regular single-track sessions. Prospective authors are invited to submit papers on relevant algorithms and applications including, but not limited to:
Bayesian learning and signal processing
Cognitive information processing
Deep learning techniques
Dictionary learning
Graphical and kernel methods
Independent component analysis
Information-theoretic learning
Learning theory and algorithms
Pattern recognition and classification
Bounds on performance
Subspace and manifold learning
Sequential learning and decision methods
Source separation
Applications including: speech, audio & music, image & video, biomedical signals & images, communications, bioinformatics, biometrics, systems biology, computational intelligence, genomic signals & sequences, social networks, games, smart grid, security & privacy