The 6th International Workshop on Signal Processing and Machine Learning - SiPML 2020

Страна: Япония

Город: Yonago

Тезисы до: 01.07.2020

Даты: 28.10.20 — 30.10.20

Е-мейл Оргкомитета:



The 6th International Workshop on Signal Processing and Machine Learning (SiPML 2020) is organized by Dr. Ricardo Rodriguez-Jorge, Dr. Dr. Adriana Mexicano-Santoyo from Autonomous University of Ciudad Juarez, and Technological Institute of Ciudad Victoria, respectively. SiPML will be held in Yonago, Tottori, Japan on November October 28-30, 2020, in conjunction with the main conference 15th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC 2020).
The aim of the workshop is to contribute to the cross-fertilization between the research on Machine Learning (ML) methods and their application to Signal Processing (SP) to initiate collaboration between these areas. ML usually plays an important role in the transition from data storage to decision systems based on large databases of signals such as the obtained from sensor networks, internet services, or communication systems. These systems imply developing both computational solutions and novel models. Signals from real-world systems are usually complex such as speech, music, bio-medical, and multimedia, among others.

1. Topics
Topics of interest include (but not limited to):
• Learning theory
• Subspace/maniforld learning
• Cognitive information processing
• Bayesian and distributed learning
• Neural networks
• Smart Grid, games, social networks
• Classification and pattern recognition
• Computational Intelligence
• Nonlinear signal processing
• Data-driven adaptive systems
• Graphical models and kernel methods
• Data-driven models
• Genomic signals and sequences
• Multimodal data fusion
• Multichannel adaptive signal processing
• Multiset data analysis
• Kernel methods and graphical models
• Perceptual signal processing
• Sparsity-aware learning
• Applications (biomedical signals, biometrix, bioinformatics)

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