Nonnegative matrix factorization with polynomial signals via hierarchical alternating least squares.
Cécile HautecoeurFrançois GlineurPublished in: ESANN (2019)
Keyphrases
- nonnegative matrix factorization
- alternating least squares
- negative matrix factorization
- matrix factorization
- data representation
- least squares
- principal component analysis
- signal processing
- spectral clustering
- objective function
- document clustering
- computer vision
- keywords
- original data
- image processing
- high dimensional