Sparse 2-D Canonical Correlation Analysis via Low Rank Matrix Approximation for Feature Extraction.
Jingjie YanWenming ZhengXiaoyan ZhouZhijian ZhaoPublished in: IEEE Signal Process. Lett. (2012)
Keyphrases
- canonical correlation analysis
- low rank matrix approximation
- feature extraction
- matrix completion
- low rank approximation
- norm regularization
- partial least squares
- dimensionality reduction methods
- least squares
- dimension reduction
- discriminant analysis
- image classification
- dimensionality reduction
- feature vectors
- principal component analysis
- preprocessing
- linear discriminant analysis
- low rank
- feature selection
- image processing
- face recognition
- pattern recognition
- data representation
- sparse representation
- support vector machine svm