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MLSP 2019 : 2019 IEEE International Workshop on Machine Learning for Signal Processing

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Link: https://www.ieeemlsp.cc/
 
When Oct 13, 2019 - Oct 16, 2019
Where Pittsburgh, PA, USA
Submission Deadline Jun 5, 2019
Notification Due Jul 30, 2019
Final Version Due Aug 23, 2019
 

Call For Papers

CALL FOR PAPERS
Machine learning, as the driving force of this wave of AI, provides powerful solutions to many real-world technical and scientific challenges. The 29th MLSP workshop, an annual event 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:
Learning theory and modeling
Neural networks and deep learning
Bayesian Learning and modeling
Sequential learning, sequential decision methods
Information-theoretic learning
Graphical and kernel models
Bounds on performance
Source separation and independent component analysis
Signal detection, pattern recognition and classification
Tensor and structured matrix methods
Machine learning for big data
Large scale learning
Dictionary learning, subspace and manifold learning
Semi-supervised and unsupervised learning
Active and reinforcement learning
Learning from multimodal data
Resource efficient machine learning
Cognitive information processing
Bioinformatics applications
Biomedical applications and neural engineering
Speech and audio processing applications
Image and video processing applications
Intelligent multimedia and web processing
Communications applications
Other applications including social networks, games, smart grid, security and privacy

MLSP 2019 COMPETITION
Data Analysis and Signal Processing Competition is being organized in conjunction with the workshop. The goal of the competition is to advance the current state-of-the-art in theoretical and practical aspects of machine learning and signal processing domains. The problems are selected to reflect current trends, evaluate existing approaches on common benchmarks, and identify critical new areas of research. Winners will be announced and awards given at the workshop.

PAPER SUBMISSION
Prospective authors are invited to submit a double column paper of up to six pages using the electronic submission procedure which will be peer-reviewed according to the procedure described in Paper Evaluation Process and Criteria.

PAPER PUBLICATION
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 2019
Paper submission deadline: June 5​
Reviewer discussion period: July 19-July 24
Decision notification: July 30
Camera-ready paper deadline: August 23
Author advance registration: August 23

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