Kernel inverse Fisher discriminant analysis for face recognition.
Zhongxi SunJun LiChangyin SunPublished in: Neurocomputing (2014)
Keyphrases
- fisher discriminant analysis
- discriminant analysis
- face recognition
- kernel trick
- multiple kernel learning
- kernel pca
- principal component analysis
- locality preserving projections
- linear discriminant analysis
- dimensionality reduction
- dimensionality reduction methods
- face images
- feature extraction
- factor analysis
- kernel function
- feature space
- kernel methods
- graph embedding
- locality preserving
- local binary pattern
- maximum margin
- computer vision
- nonlinear models
- high dimensional feature space
- support vector
- input space
- sparse coding
- kernel learning
- linear combination
- high dimensional
- regression algorithm
- structured output
- cluster analysis
- covariance matrix
- principle component analysis
- facial expressions
- feature selection
- machine learning