Fisher discriminant analysis based on kernel cuboid for face recognition.
Xiao-Zhang LiuChen-Guang ZhangPublished in: Soft Comput. (2016)
Keyphrases
- fisher discriminant analysis
- discriminant analysis
- face recognition
- kernel trick
- multiple kernel learning
- kernel pca
- locality preserving projections
- linear discriminant analysis
- principal component analysis
- dimensionality reduction methods
- feature extraction
- factor analysis
- locality preserving
- kernel function
- kernel learning
- dimensionality reduction
- kernel methods
- input space
- maximum margin
- graph embedding
- facial images
- support vector
- face images
- feature space
- computer vision
- face databases
- kernel matrix
- regression algorithm
- data points
- multi class
- pattern recognition
- structured output
- high dimensional feature space
- nonlinear models
- support vector machine
- machine learning
- facial expressions
- supervised learning
- binary classification
- linear combination
- sparse representation
- learning problems