Low-rank matrix regression for image feature extraction and feature selection.
Haoliang YuanJunyu LiLoi Lei LaiYuan Yan TangPublished in: Inf. Sci. (2020)
Keyphrases
- image feature extraction
- low rank matrix
- feature selection
- feature extraction
- low rank
- convex optimization
- support vector
- matrix factorization
- sparse matrix
- singular value decomposition
- image processing
- approximation methods
- image indexing
- feature set
- high dimensionality
- corner detection
- pattern recognition
- collaborative filtering
- dimensionality reduction
- high dimensional data
- machine learning
- feature space
- total variation
- gene expression data
- high order
- missing data
- semi supervised
- feature vectors
- multiscale
- image segmentation