Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations
Krishnakumar BalasubramanianKai YuGuy LebanonPublished in: CoRR (2012)
Keyphrases
- dictionary learning
- sparse coding
- sparse representation
- single image super resolution
- group sparsity
- unsupervised learning
- natural images
- linear combination
- image representation
- subspace learning
- generative model
- image classification
- learning algorithm
- image patches
- high dimensional
- image processing
- prior knowledge
- sparse codes
- sparse learning
- pattern recognition
- signal processing
- active learning
- feature space
- regression model
- visual words
- dimensionality reduction
- higher order
- reinforcement learning
- negative matrix factorization
- co occurrence
- input image
- face recognition
- small number