Network sparse representation: Decomposition, dimensionality-reduction and reconstruction.
Xuemeng ZhaiWanlei ZhouGaolei FeiCai LuGuangmin HuPublished in: Inf. Sci. (2020)
Keyphrases
- sparse representation
- dimensionality reduction
- compressed sensing
- compressive sensing
- reconstruction error
- dictionary learning
- random projections
- high dimensional data
- sparse reconstruction
- sparse coding
- image classification
- high dimensionality
- sparsity constraints
- manifold learning
- principal component analysis
- high dimensional
- subspace learning
- image super resolution
- data representation
- image patches
- negative matrix factorization
- face recognition
- regularized least squares
- image representation
- pattern recognition
- unsupervised learning
- machine learning
- feature space
- joint optimization
- image reconstruction
- three dimensional
- low dimensional
- sparse learning
- signal processing
- test images
- piecewise smooth
- data points
- feature extraction
- feature selection
- sparse approximations
- dimension reduction
- norm minimization
- reconstructed image
- computer vision