Local Access to Sparse and Large Global Information in P2P Networks: A Case for Compressive Sensing.
Rossano GaetaMarco GrangettoMatteo SerenoPublished in: Peer-to-Peer Computing (2010)
Keyphrases
- compressive sensing
- global information
- random projections
- compressive sampling
- sparse representation
- signal reconstruction
- image recovery
- structured sparsity
- signal processing
- image representation
- contextual information
- distributed source coding
- prior information
- global knowledge
- compressed sensing
- computer vision
- semantic information
- input data
- principal component analysis
- high dimensional
- pattern recognition
- orthogonal matching pursuit
- high level
- feature selection