Quantization of Eigen Subspace for Sparse Representation.
Onur YilmazAli N. AkansuPublished in: IEEE Trans. Signal Process. (2015)
Keyphrases
- sparse representation
- subspace learning
- high dimensional data
- lower dimensional
- principal component analysis
- dimensionality reduction
- basis vectors
- random projections
- face recognition
- sparse coding
- dictionary learning
- orthogonal matching pursuit
- low dimensional
- image patches
- image classification
- compressed sensing
- compressive sensing
- high dimensional
- negative matrix factorization
- reconstruction error
- regularized least squares
- sparse approximations
- signal processing
- data sets
- image representation
- sparse reconstruction
- linear subspace
- joint optimization
- dimension reduction
- sparse coefficients
- sparse codes
- feature extraction
- sparsity constraints
- pattern recognition
- feature space
- image reconstruction
- test images
- image processing
- machine learning
- face images
- blind source separation
- neural network