posted by user: wMwMw || 19702 views || tracked by 51 users: [display]

MLSP 2014 : IEEE International Workshop on Machine Learning for Signal Processing

FacebookTwitterLinkedInGoogle

Link: http://mlsp2014.conwiz.dk/
 
When Sep 21, 2014 - Sep 24, 2014
Where Reims, France
Submission Deadline May 5, 2014
Notification Due Jun 27, 2014
Final Version Due Jul 25, 2014
Categories    machine learning   signal processing
 

Call For Papers

CALL FOR PAPERS

The 24th 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 techniques
-Graphical models and kernel methods
-Data-driven adaptive systems and models
-Pattern recognition and classification
-Distributed, Bayesian, subspace/manifold and sparsity-aware learning
-Multiset data analysis and multimodal data fusion
-Perceptual signal processing in audio, image and video
-Cognitive information processing
-Multichannel adaptive and nonlinear signal processing
-Applications, including: speech and audio, image and video, music, biomedical signals and images; communications; bioinformatics; biometrics, computational intelligence, genomic signals and sequences; social networks; games, and smart grid.


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 memory sticks to be distributed at the workshop. The presented papers will be published in and indexed by IEEE Xplore.

Related Resources

IEEE CACML 2025   2025 4th Asia Conference on Algorithms, Computing and Machine Learning (CACML 2025)
IEEE-Ei/Scopus-SGGEA 2024   2024 Asia Conference on Smart Grid, Green Energy and Applications (SGGEA 2024) -EI Compendex
SPIE-Ei/Scopus-DMNLP 2025   2025 2nd International Conference on Data Mining and Natural Language Processing (DMNLP 2025)-EI Compendex&Scopus
DPPR 2024   14th International Conference on Digital Image Processing and Pattern Recognition
IEEE-EI/Scopus-IECA 2025   2025 2nd International Conference on Informatics Education and Computer Technology Applications -IEEE Xplore/EI/Scopus
Ei/Scopus-ACAI 2024   2024 7th International Conference on Algorithms, Computing and Artificial Intelligence(ACAI 2024)
MobiCASE 2025   16th EAI International Conference on Mobile Computing, Applications and Services
SCM 2024   7th International Conference on Soft Computing, Control and Mathematics
SPIE-Ei/Scopus-CMLDS 2025   2025 2nd International Conference on Computing, Machine Learning and Data Science (CMLDS 2025) -EI Compendex & Scopus
ICSTTE 2025   2025 3rd International Conference on SmartRail, Traffic and Transportation Engineering (ICSTTE 2025)