SAGA: sparse and geometry-aware non-negative matrix factorization through non-linear local embedding.
Nicolas CourtyXing GongJimmy VandelThomas BurgerPublished in: Mach. Learn. (2014)
Keyphrases
- negative matrix factorization
- sparse representation
- sparsity constraints
- tensor factorization
- nonnegative matrix factorization
- dictionary learning
- sparse coding
- matrix factorization
- document clustering
- principal component analysis
- image classification
- vector space
- constrained least squares
- blind source separation
- geodesic distance
- spectral clustering
- regularized least squares
- data sets
- image representation
- probabilistic latent semantic analysis
- basis vectors
- machine learning
- high dimensional data
- dimensionality reduction
- high dimensional
- pairwise
- data analysis
- face recognition