Kernel Biased Discriminant Analysis Using Histogram Intersection Kernel for Content-Based Image Retrieval.
Lin MeiGerd BrunnerLokesh SetiaHans BurkhardtPublished in: IDEAL (2005)
Keyphrases
- discriminant analysis
- histogram intersection kernel
- kernel discriminant analysis
- discriminant subspace
- feature vectors
- linear discriminant analysis
- class separability
- feature extraction
- fisher linear discriminant analysis
- face recognition
- kernel fisher discriminant analysis
- kernel principal component analysis
- fisher discriminant analysis
- principal component analysis
- fisher criterion
- factor analysis
- privileged information
- graph embedding
- generalized discriminant analysis
- generalized linear
- support vector
- partial least squares
- feature space
- canonical correlations
- neural network
- similarity measure
- pattern recognition
- high dimensional
- dimensionality reduction methods
- image retrieval
- nearest neighbor
- image classification