Memory-Efficient Convex Optimization for Self-Dictionary Separable Nonnegative Matrix Factorization: A Frank-Wolfe Approach.
Tri NguyenXiao FuRuiyuan WuPublished in: CoRR (2021)
Keyphrases
- memory efficient
- convex optimization
- nonnegative matrix factorization
- primal dual
- negative matrix factorization
- sparse representation
- interior point
- data representation
- low rank
- interior point methods
- matrix factorization
- least squares
- spectral clustering
- convex relaxation
- data matrix
- augmented lagrangian
- total variation
- principal component analysis
- original data
- sparse coding
- document clustering
- objective function
- face recognition
- image segmentation
- machine learning
- signal processing
- image processing