Compensation of signal with erasures via sparse representation into its significant subspace.
Shiwen DengJiqing HanPublished in: ISSPA (2010)
Keyphrases
- sparse representation
- compressive sensing
- subspace learning
- signal processing
- dictionary learning
- high dimensional data
- dimensionality reduction
- sparse coding
- basis vectors
- face recognition
- image classification
- orthogonal matching pursuit
- image patches
- compressed sensing
- random projections
- joint optimization
- reconstruction error
- regularized least squares
- sparse reconstruction
- negative matrix factorization
- test images
- piecewise smooth
- sparse approximations
- linear subspace
- signal recovery
- machine learning
- principal component analysis
- lower dimensional
- image representation
- low dimensional
- high dimensional
- feature space
- pattern recognition
- data mining
- image reconstruction
- frequency domain
- norm minimization
- sparsity constraints
- feature extraction
- sparse signal representation