IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2014)

Topics

• Graphical models and kernel methods
• Learning theory and techniques
• Pattern recognition and classification
• Data-driven adaptive systems and models
• Multiset data analysis and multimodal data fusion
• Distributed, Bayesian, subspace/manifold, and sparsity-aware learning
• Cognitive information processing
• Perceptual signal processing in audio, image and video
• Applications, including: Music processing, Speech, audio and video, Communications, Biomedical imaging, Computational genomics, Bioinformatics, Biometrics, Social networks, Energy and smart grid