General subspace constrained non-negative matrix factorization for data representation.
Yong LiuYiyi LiaoLiang TangFeng TangWeicong LiuPublished in: Neurocomputing (2016)
Keyphrases
- data representation
- negative matrix factorization
- nonnegative matrix factorization
- dimensionality reduction
- principal component analysis
- subspace learning
- data representations
- sparse representation
- low dimensional
- matrix factorization
- xml documents
- document clustering
- feature extraction
- data sets
- information extraction
- low rank
- pattern recognition
- image processing
- computer vision