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

Tensor and structured matrix methods

Machine learning from big data

Scalable learning algorithms

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