Iterative orthonormalized partial least squares with sparsity constraints.
Sergio Muñoz-RomeroJerónimo Arenas-GarcíaVanessa Gómez-VerdejoPublished in: ICASSP (2013)
Keyphrases
- partial least squares
- sparsity constraints
- discriminant analysis
- dimension reduction
- negative matrix factorization
- dictionary learning
- sparse representation
- sparse coding
- ls svm
- principal component analysis
- nonnegative matrix factorization
- low rank
- factor analysis
- global constraints
- machine learning
- pattern recognition
- computer vision
- data sets
- feature extraction
- signal processing
- pairwise
- data analysis