Memory-Efficient Convex Optimization for Self-Dictionary Separable Nonnegative Matrix Factorization: A Frank-Wolfe Approach.
Tri NguyenXiao FuRuiyuan WuPublished in: IEEE Trans. Signal Process. (2022)
Keyphrases
- memory efficient
- convex optimization
- nonnegative matrix factorization
- primal dual
- negative matrix factorization
- sparse representation
- matrix factorization
- interior point methods
- interior point
- data representation
- principal component analysis
- low rank
- least squares
- spectral clustering
- total variation
- convex relaxation
- document clustering
- data matrix
- augmented lagrangian
- original data
- objective function
- kernel matrix
- signal processing
- recommender systems
- feature space
- feature selection
- machine learning