Representation of a fisher criterion function in a kernel feature space.
Sang Wan LeeZeungnam BienPublished in: IEEE Trans. Neural Networks (2010)
Keyphrases
- feature space
- criterion function
- kernel function
- image representation
- class separability
- fisher kernel
- kernel pca
- input space
- kernel methods
- mutual information
- kernel trick
- classification accuracy
- low dimensional
- feature selection
- gaussian processes
- high dimensionality
- data mining
- dimensionality reduction
- image analysis
- feature vectors
- mean shift
- feature set
- high dimensional
- translation invariant
- object recognition
- multiscale
- kernel space
- image segmentation
- neural network
- generalized discriminant analysis
- mercer kernels