Sparse Hyper-graph Non-negative Matrix Factorization by Maximizing Correntropy.
Cui-Na JiaoJin-Xing LiuYing-Lian GaoXiang-Zhen KongChun-Hou ZhengXianzi YuPublished in: BIBM (2021)
Keyphrases
- negative matrix factorization
- sparse representation
- hyper graph
- sparsity constraints
- tensor factorization
- nonnegative matrix factorization
- sparse coding
- random walk
- matrix factorization
- document clustering
- principal component analysis
- signal processing
- face recognition
- image classification
- image processing
- euclidean distance
- manifold learning
- image representation
- collaborative filtering
- least squares
- object recognition
- feature extraction
- data sets