Graph regularized low-rank tensor representation for feature selection.
Yuting SuXu BaiWu LiPeiguang JingJing ZhangJing LiuPublished in: J. Vis. Commun. Image Represent. (2018)
Keyphrases
- low rank
- feature selection
- trace norm
- ell norm
- low rank and sparse
- multi task
- matrix factorization
- linear combination
- convex optimization
- missing data
- singular value decomposition
- matrix completion
- low rank matrix
- rank minimization
- semi supervised
- high dimensional data
- matrix decomposition
- robust principal component analysis
- high order
- least squares
- kernel matrix
- text categorization
- singular values
- weighted graph
- dimensionality reduction
- feature set
- data matrix
- minimization problems
- machine learning
- low rank matrices
- graph matching
- data analysis
- support vector
- small number
- similarity measure
- learning algorithm