Low-rank structure preserving for unsupervised feature selection.
Wei ZhengChunyan XuJian YangJunbin GaoFa ZhuPublished in: Neurocomputing (2018)
Keyphrases
- structure preserving
- low rank
- unsupervised feature selection
- data matrix
- dimensionality reduction
- high dimensional data
- singular value decomposition
- salient object detection
- missing data
- matrix factorization
- convex optimization
- linear combination
- feature selection
- semi supervised
- high order
- matrix completion
- data clustering
- singular values
- norm minimization
- high dimensional
- data representation
- principal component analysis
- low dimensional
- unsupervised learning
- pattern recognition
- data points
- data mining applications
- small number
- input image
- feature space
- least squares