Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations.
Krishnakumar BalasubramanianKai YuGuy LebanonPublished in: ICML (3) (2013)
Keyphrases
- dictionary learning
- sparse coding
- sparse representation
- group sparsity
- single image super resolution
- unsupervised learning
- linear combination
- image classification
- image representation
- natural images
- generative model
- face recognition
- sparse codes
- learning algorithm
- prior knowledge
- subspace learning
- sparse learning
- signal processing
- supervised learning
- high dimensional
- feature selection
- co occurrence
- image patches
- negative matrix factorization