Structure-Constrained Low-Rank and Partial Sparse Representation with Sample Selection for image classification.
Yang LiuXueming LiChenyu LiuHaixu LiuPublished in: Pattern Recognit. (2016)
Keyphrases
- sparse representation
- image classification
- low rank
- low rank matrix recovery
- sparse coding
- group sparsity
- high dimensional data
- sparsity constraints
- dictionary learning
- image representation
- low rank matrix
- matrix completion
- missing data
- sample selection
- image features
- linear combination
- compressive sensing
- high order
- matrix factorization
- convex optimization
- negative matrix factorization
- signal processing
- face recognition
- visual words
- feature extraction
- image patches
- compressed sensing
- robust face recognition
- reconstruction error
- semi supervised
- least squares
- neural network
- bag of words
- random projections
- data analysis
- dimensionality reduction
- singular value decomposition
- norm minimization
- multi label
- low dimensional
- machine learning