Unsupervised Hypergraph Feature Selection with Low-Rank and Self-Representation Constraints.
Wei HeXiaofeng ZhuYonggang LiRongyao HuYonghua ZhuShichao ZhangPublished in: ADMA (2016)
Keyphrases
- low rank
- feature selection
- semi supervised
- high order
- matrix factorization
- matrix completion
- low rank matrix
- missing data
- convex optimization
- unsupervised learning
- linear combination
- rank minimization
- singular value decomposition
- unsupervised feature selection
- pairwise
- matrix decomposition
- mutual information
- trace norm
- higher order
- singular values
- kernel matrix
- supervised learning
- text categorization
- high dimensional data
- image representation
- markov random field
- multi class
- pattern recognition
- machine learning
- dimensionality reduction
- minimization problems
- support vector machine
- knn
- face recognition
- low rank matrices