SPARS 2011: Topics

Contributions are expected on the following topics (non-limiting list):

  • Sparse coding, vector quantization and dictionary learning
  • Sparse approximation algorithms : performance and complexity analysis, new methodologies
  • Compressed sensing
  • Simultaneous processing of multiple signals/images
  • Sparse/structured signal representations, visualization
  • Compression and coding
  • Feature extraction, classification, detection
  • Source separation
  • Sparsity measures in approximation theory, information theory and statistics
  • Applications to image, audio, video, medical, multimedia and multichannel data processing
  • Matrix completion
  • Other