Nonlinear feature extraction with radial basis functions using a weighted multidimensional scaling stress measure.
Andrew R. WebbPublished in: ICPR (1996)
Keyphrases
- radial basis function
- multidimensional scaling
- kernel pca
- feature extraction
- support vector machine svm
- principal component analysis
- dimensionality reduction
- rbf neural network
- neural network
- rbf network
- low dimensional
- support vector
- face recognition
- feature space
- basis functions
- bidimensional empirical mode decomposition
- support vector machine
- artificial neural networks
- similarity measure
- manifold learning
- pattern recognition
- feature vectors
- euclidean distance
- kernel function
- vector space
- kernel methods
- pattern classification
- input space
- geodesic distance
- cluster analysis
- dimension reduction
- linear discriminant analysis
- semi supervised
- frequency domain
- high dimensional
- data points
- distance measure
- feature set
- wavelet transform
- nearest neighbor