A Kernel Discriminant Information Approach to Non-linear Feature Selection.
Zejiang HouSun-Yuan KungPublished in: IJCNN (2019)
Keyphrases
- feature selection
- discriminant information
- dimensionality reduction
- feature space
- support vector
- graph embedding
- small sample size
- feature extraction
- kernel learning
- linear discriminant analysis
- high dimensionality
- input space
- kernel methods
- kernel function
- multi class
- feature set
- multiple kernel learning
- principal component analysis
- microarray data
- data points
- high dimensional
- support vector machine
- dimension reduction
- feature representation
- data representation
- kernel matrix
- pattern recognition
- face recognition
- intra class
- machine learning
- high dimensional data
- text classification
- discriminant analysis
- semi supervised learning
- model selection
- low dimensional
- semi supervised
- linear discriminant
- fisher criterion
- object recognition