Manhattan Nonnegative matrix factorization using the alternating direction method of multipliers.
Chan CaoShuyu TangNian ZhangXiangguang DaiWei ZhangYuming FengJiang XiongJinkui LiuLara A. ThompsonPublished in: ICACI (2023)
Keyphrases
- nonnegative matrix factorization
- alternating direction method of multipliers
- convex optimization
- total variation
- matrix factorization
- negative matrix factorization
- matrix completion
- data representation
- least squares
- low rank
- interior point
- document clustering
- convex relaxation
- spectral clustering
- data matrix
- principal component analysis
- original data
- denoising
- interior point methods
- primal dual
- objective function
- pattern recognition
- text mining
- machine learning
- image restoration
- image features