Total Variation Constrained Graph-Regularized Convex Non-Negative Matrix Factorization for Data Representation.
Miao TianChengcai LengHaonan WuAnup BasuPublished in: IEEE Signal Process. Lett. (2021)
Keyphrases
- data representation
- total variation
- negative matrix factorization
- convex optimization
- nonnegative matrix factorization
- minimization problems
- regularization methods
- image restoration
- split bregman method
- denoising
- image denoising
- principal component analysis
- matrix factorization
- sparse representation
- operator splitting
- dimensionality reduction
- total least squares
- document clustering
- regularization term
- regularization method
- image processing
- weighted graph
- xml schema
- natural images
- least squares
- data mining
- regularized least squares
- object recognition
- machine learning
- low rank
- spectral clustering
- feature extraction
- face recognition
- computer vision