Connectionists: Call for papers - MLSP2019 IEEE International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING

[2019 IEEE International Workshop on Machine Learning fo Signal Processing]

MLSP2019



IEEE International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING

OCTOBER 13-16, 2019    Pittsburgh, PA, USA

www.ieeemlsp.cc



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 conjuction 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      June 5, 2019

Decision notification          July 30, 2019

Camera-ready papers and

Author advance registration    August 23, 2019



ORGANIZING COMMITTEE:

General Chair:

Murat Akcakaya, University of Pittsburgh, USA



Program Chairs:

Sarah Ostadabbas, Northeastern University, USA

Osman Yagan, Carnegie Mellon University, USA

Yuejie Chi, Carnegie Mellon University, USA



Finance Chair:

Zhi-Hong Mao, University of Pittsburgh, USA



Data Competition Chairs:

Vince Calhoun, University of New Mexico, USA

Rogers Silva, University of New Mexico, USA

Yuhui Du, University of New Mexico, USA



Publicity and Social Media Chairs:

Marc Van Hulle, KU Leuven, Belgium

Ervin Sejdic, University of Pittsburgh, Pittsburgh, PA, USA



Advisory Committee:

Raviv Raich, Oregon State University, USA

Deniz Erdogmus, Northeastern University, Boston, MA, USA

Zheng-Hua Tan, Aalborg University, Aalborg, Denmark



IEEE Signal Processing Society Liaison

Ulisses Braga-Neto, Texas A&M University,  College Station, TX, USA