Randomized Canonical Correlation Discriminant Analysis for Face Recognition.
Bo MaHui HeHongwei HuMeili WeiPublished in: ECAI (2016)
Keyphrases
- discriminant analysis
- canonical correlations
- face recognition
- linear discriminant analysis
- principal component analysis
- feature extraction
- face images
- factor analysis
- partial least squares
- dimensionality reduction methods
- fisher criterion
- dimensionality reduction
- cluster analysis
- kernel discriminant analysis
- computer vision
- data sets
- facial images
- facial expressions
- canonical correlation analysis
- human faces
- sparse representation
- face databases
- face detection
- subspace learning
- linear subspace
- mutual information
- feature selection
- learning algorithm