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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:
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
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 19
- Decision notification: July 30
- Camera-ready paper deadline: August 23
- Author registration: By August 23
- Advance registration: By August 30