Orthogonal Universal Kernel Non-Negative Matrix Factorization with Total Variation Regularization.
Rong ZhouWen-Sheng ChenBinbin PanPublished in: ICMLC (2023)
Keyphrases
- negative matrix factorization
- total variation regularization
- total variation
- image denoising
- image deblurring
- denoising
- locally adaptive
- document clustering
- principal component analysis
- regularization parameter
- matrix factorization
- sparse representation
- kernel methods
- matrix valued
- augmented lagrangian
- parameter selection
- kernel function
- image restoration
- support vector
- feature space
- spectral clustering
- image processing
- natural images
- positive definite
- cross validation
- wavelet coefficients
- pairwise