HSR: L1/2 Regularized Sparse Representation for Fast Face Recognition using Hierarchical Feature Selection.
Bo HanBo HeTingting SunMengmeng MaAmaury LendassePublished in: CoRR (2014)
Keyphrases
- sparse representation
- feature selection
- regularized least squares
- dictionary learning
- sparse reconstruction
- norm minimization
- dimensionality reduction
- sparse coding
- face recognition
- sparsity constraints
- face images
- orthogonal matching pursuit
- compressive sensing
- image classification
- text classification
- image patches
- unsupervised feature selection
- signal processing
- negative matrix factorization
- subspace learning
- joint optimization
- image representation
- unsupervised learning
- sparse learning
- support vector
- compressed sensing
- high dimensional data
- support vector machine
- random projections
- robust face recognition
- machine learning
- sparse approximations
- pattern recognition
- multi task
- test images
- model selection
- least squares
- feature space
- feature extraction
- sparse coefficients
- neural network