Supervised Non-negative Matrix Factorization Induced by Huber Loss.
Ying HuangWen-Sheng ChenBinbin PanBo ChenPublished in: ICIG (2) (2021)
Keyphrases
- negative matrix factorization
- sparse representation
- nonnegative matrix factorization
- matrix factorization
- unsupervised feature selection
- document clustering
- principal component analysis
- constrained least squares
- learning algorithm
- semi supervised
- loss function
- supervised learning
- feature selection
- spectral clustering
- knowledge base
- computer vision
- data mining
- tensor factorization
- least squares
- face recognition
- machine learning
- data sets