Low-rank unsupervised graph feature selection via feature self-representation.
Wei HeXiaofeng ZhuDebo ChengRongyao HuShichao ZhangPublished in: Multim. Tools Appl. (2017)
Keyphrases
- low rank
- feature selection
- semi supervised
- missing data
- graph representation
- convex optimization
- linear combination
- matrix factorization
- low rank matrix
- matrix completion
- unsupervised learning
- singular value decomposition
- low rank and sparse
- unsupervised feature selection
- feature set
- rank minimization
- high dimensional data
- text classification
- kernel matrix
- feature subset
- feature space
- matrix decomposition
- machine learning
- trace norm
- mutual information
- low rank matrices
- feature extraction
- robust principal component analysis
- text categorization
- image representation
- image features
- face recognition
- graph matching
- high order
- input data
- dimensionality reduction
- pairwise