CALL FOR PAPERS

The 27th 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
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
SPECIAL SESSIONS

MLSP 2017 will include Special Sessions that address research in emerging or interdisciplinary areas of particular interest, not covered already by traditional MLSP sessions.
BEST STUDENT AWARD

The MLSP Best Student Paper Award will be granted to the best paper for which a student is the principal author and presenter.
PAPER SUBMISSION

Prospective authors are invited to submit a double column paper of up to six pages using the electronic submission procedure. Accepted papers will be published on on a password-protected website that will be available during the workshop. The presented papers will be published in and indexed by IEEE Xplore.
SCHEDULE

Paper submission (extended): May 28, 2017
Decision notifications: July 5, 2017
Camera-ready papers: July 31, 2017
Author advance registrations: August 7, 2017