On Compressive Sensing of Sparse Covariance Matrices Using Deterministic Sensing Matrices.
Alihan KaplanVolker PohlDae Gwan LeePublished in: ICASSP (2018)
Keyphrases
- covariance matrices
- compressive sensing
- covariance matrix
- maximum likelihood
- random projections
- sparse representation
- compressive sampling
- vector space
- signal processing
- gaussian distribution
- distance measure
- gaussian mixture model
- structured sparsity
- image representation
- gaussian mixture
- principal component analysis
- feature vectors
- information retrieval
- linear classifiers
- probabilistic model
- image classification
- dimensionality reduction
- orthogonal matching pursuit
- multiscale