[visionlist] Deadline extended - CFP: MLSP2019 - IEEE International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING

[Safaa Mohamed]

MLSP2019

IEEE International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING

OCTOBER 13-16, 2019    Pittsburgh, PA, USA

www.ieeemlsp.cc



Deadline Extended: 19 June 2019



FINAL CALL FOR PAPERS

The 29th 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:



- 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





DATA ANALYSIS AND SIGNAL PROCESSING COMPETITION

MLSP 2019 Data Analysis and Signal Processing Competition is being
organized in conjunction with the workshop. The goal of competition is to
advance the current state-of-the-art in theoretical and practical aspects
of machine learning and signal processing domains.



PAPER SUBMISSION

Prospective authors are invited to submit a double column paper of up to
six pages using the electronic submission procedure at
https://www.ieeemlsp.cc. The presented papers will be published in and
indexed by IEEE Xplore.



IMPORTANT DATES AND DEADLINES:

Paper submission deadline extended     June 19, 2019

Decision notification                  July 30, 2019

Camera-ready papers and

Author advance registration            August 23, 2019



KEYNOTE SPEAKERS:

Jose C. Principe, Distinguished Professor, Director of Computational
NeuroEngineering Laboratory, University of Florida



Jeff Schneider, Research Professor, The Robotics Institute, School of
Computer Science, Carnegie Mellon University



Nikolaos Sidiropoulos, Professor and Chair, Electrical and Computer
Engineering Department, University of Virginia



TUTORIALS:

Siheng Chen, Research Scientist at Mitsubishi Electric Research Laboratory
(MERL). Tutorial Title: Data science with graphs: From social network
analysis to autonomous driving



Amir Tahmasebi, Director of Machine Learning and AI, CODAMETRIX, Boston,
MA. Tutorial Title: Natural Language Processing for Healthcare Applications



Thank you!

MLSP 2019 Technical Program Chairs

mlsp2019-programchairs at ieeemlsp.cc
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