Bayesian Non-Negative Matrix Factorization With Adaptive Sparsity and Smoothness Prior.
Ondrej TichyLenka BodiovaVáclav SmídlPublished in: IEEE Signal Process. Lett. (2019)
Keyphrases
- negative matrix factorization
- sparse representation
- sparsity constraints
- tensor factorization
- smoothness prior
- image super resolution
- dictionary learning
- matrix factorization
- document clustering
- nonnegative matrix factorization
- principal component analysis
- sparse coding
- maximum likelihood
- spectral clustering
- machine learning
- image classification
- face recognition
- information retrieval
- signal processing
- dimensionality reduction
- edge detection
- image edges
- pattern recognition