Structurally Incoherent Low-Rank Nonnegative Matrix Factorization for Image Classification.
Yuwu LuChun YuanWenwu ZhuXuelong LiPublished in: IEEE Trans. Image Process. (2018)
Keyphrases
- nonnegative matrix factorization
- image classification
- low rank
- matrix factorization
- matrix decomposition
- negative matrix factorization
- collaborative filtering
- low rank matrix
- image representation
- missing data
- factorization methods
- matrix completion
- bag of words
- sparse coding
- data representation
- sparse representation
- feature extraction
- semi supervised
- image features
- recommender systems
- linear combination
- data matrix
- least squares
- singular value decomposition
- sparsity constraints
- convex optimization
- interior point
- principal component analysis
- unsupervised feature selection
- singular values
- document clustering
- high order
- natural images
- pattern recognition