Dictionary Learning Algorithms for Sparse Representation.
Kenneth Kreutz-DelgadoJoseph F. MurrayBhaskar D. RaoKjersti EnganTe-Won LeeTerrence J. SejnowskiPublished in: Neural Comput. (2003)
Keyphrases
- sparse representation
- learning algorithm
- subspace learning
- dictionary learning
- sparse coding
- learned dictionary
- image classification
- face recognition
- compressed sensing
- random projections
- negative matrix factorization
- joint optimization
- active learning
- image representation
- sparse approximations
- compressive sensing
- learning problems
- high dimensional data
- machine learning
- learning tasks
- sparse codes
- training data
- piecewise smooth
- dimensionality reduction
- signal processing
- supervised learning
- reconstruction error
- regularized least squares
- image data
- training samples
- norm minimization
- sparsity constraints
- image patches
- feature vectors
- object recognition
- orthogonal matching pursuit
- sparse representation based classification
- feature selection
- data sets