Kernel based subspace pattern classification.
Thiagarajan BalachanderRavi KothariPublished in: IJCNN (1999)
Keyphrases
- pattern classification
- feature extraction
- linear dimensionality reduction
- kernel pca
- pattern recognition
- low dimensional
- principal component analysis
- vowel recognition
- feature space
- decision boundary
- kernel methods
- nearest neighbor rule
- fuzzy classifier
- high dimensional
- radial basis function neural network
- support vector machine
- parzen window
- dimensionality reduction
- support vector
- pattern classification problems
- subspace learning
- linear subspace
- probabilistic neural network
- high dimensional data
- self organizing maps
- data sets
- mass spectrometry data
- distance measure
- feature selection