posted by user: mcamplan || 13402 views || tracked by 17 users: [display]

MLSP 2016 : IEEE International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING

FacebookTwitterLinkedInGoogle

Link: http://mlsp2016.conwiz.dk/cfp.htm
 
When Sep 13, 2016 - Sep 16, 2016
Where Vietri sul Mare, Salerno, Italy
Submission Deadline May 1, 2016
Categories    machine learning   image processing
 

Call For Papers

CALL FOR PAPERS

The 26th 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:
Bayesian learning and signal processing
Cognitive information processing
Deep learning techniques
Dictionary learning
Graphical and kernel methods
Independent component analysis
Information-theoretic learning
Learning theory and algorithms
Pattern recognition and classification
Bounds on performance
Subspace and manifold learning
Sequential learning and decision methods
Source separation
Applications including: speech, audio & music, image & video, biomedical signals & images, communications, bioinformatics, biometrics, systems biology, computational intelligence, genomic signals & sequences, social networks, games, smart grid, security & privacy
DATA ANALYSIS AND SIGNAL PROCESSING 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 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.
BEST STUDENT AWARD

The MLSP Best Student Paper Award will be granted to the best overall paper for which a student is the principal author and presenter. This author must be a registered student at the time of paper submission to be eligible for this award. The award will be presented during the conference and consists of a honorarium (to be divided equally between all student authors of the paper), and a certificate for each such author. The award will be selected by a subcommittee of the program committee. The selection is based on the quality, originality, and clarity of the submission.
PAPER SUBMISSION

Prospective authors are invited to submit a double column paper of up to six pages using the electronic submission procedure. 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

Paper submission (extended): May 1, 2016
Decision notifications: June 5, 2016
Camera-ready papers: July 31, 2016
Author advance registrations: July 31, 2016

Related Resources

MLPR--EI 2026   2026 The 4th International Conference on Machine Learning and Pattern Recognition (MLPR 2026)
Ei/Scopus-ITCC 2026   2026 6th International Conference on Information Technology and Cloud Computing (ITCC 2026)
Ei/Scopus-CMLDS 2026   2026 3rd International Conference on Computing, Machine Learning and Data Science (CMLDS 2026)
Ei/Scopus-CEICE 2026   2026 3rd International Conference on Electrical, Information and Communication Engineering (CEICE 2026)
MLSC 2026   7th International Conference on Machine Learning and Soft Computing
IEEE-ICECCS 2026   2025 IEEE International Conference on Electronics, Communications and Computer Science (ICECCS 2026)
NATP 2026   12th International Conference on Natural Language Processing
CVIPPR 2026   2026 4th Asia Conference on Computer Vision, Image Processing and Pattern Recognition (CVIPPR 2026)
ICAIT 2026   2026 18th International Conference on Advanced Infocomm Technology (ICAIT 2026)
AMLDS 2026   IEEE--2026 2nd International Conference on Advanced Machine Learning and Data Science