Connectionists: call for papers - MLSP2018 IEEE International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING

2018 IEEE International Workshop on Machine Learning fo Signal Processing mlsp at NEURO.KULEUVEN.BE
Wed Feb 7 11:11:03 EST 2018


MLSP2018
IEEE International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING
September 17-20, 2018    Aalborg, Denmark
MLSP2018.CONWIZ.DK

CALL FOR PAPERS
The 28th 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
MLSP2018 seeks proposals for Data Analysis and Signal Processing
Competition. The goal of competition is to advance the current
state-of-the-art in theoretical and practical aspects of signal
processing domains.

SPECIAL SESSIONS
Special Sessions will be included to address research in emerging or
interdisciplinary areas of particular interest, not covered already by
traditional MLSP sessions.

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

NETWORKING
MLSP Networking will be organized as a new initiative to focus on
stimulating collaboration among participants to solve grand societal
challenges using machine learning and signal processing.

PAPER SUBMISSION
Prospective authors are invited to submit a double column paper of up to
six pages using the electronic submission procedure at
http://mlsp2018.conwiz.dk. Accepted papers will be published on a
password-protected website that will be available during the workshop.
The presented papers will be published in and indexed by IEEE Xplore.

IMPORTANT DATES AND DEADLINES:
Paper submission deadline      May 1, 2018
Paper update deadline          May 4, 2018
Review notification            June 18, 2018
Rebuttal period                June 18-24, 2018
Reviewer discussion period     June 25-30, 2018
Decision notification          July 6, 2018
Camera-ready papers and
Author advance registration    July 31, 2018

ORGANIZING COMMITTEE:
General Chair:
Zheng-Hua Tan, Aalborg University, Denmark

Program Chairs:
Nelly Pustelnik, ENS Lyon, France
Zhanyu Ma, Beijing University of Posts and Telecommunications, China

Finance Chair:
Børge Lindberg, Aalborg University, Denmark

Data Competition Chairs:
Karim Seghouane, University of Melbourne, Australia
Yuejie Chi, Ohio State University, USA

Publicity and Social Media Chairs:
Marc Van Hulle, KU Leuven, Belgium
Jen-Tzung Chien, National Chiao Tung University, Taiwan

Web and Publication Chair:
Jan Larsen, Technical University of Denmark, Denmark

Advisory Committee:
Søren Holdt Jensen, Aalborg University, Denmark
Theodoridis Sergios, University of Athens, Greece
Raviv Raich, Oregon State University, USA
Vince Calhoun, University of New Mexico, USA


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