Acoustic Modeling using Vector Quantization in Kernel Feature Space and Classification using String Kernel based Support Vector Machines.
R. AnithaC. Chandra SekharPublished in: IJCNN (2007)
Keyphrases
- vector quantization
- support vector
- feature space
- kernel function
- kernel methods
- support vector machine
- classification accuracy
- mercer kernel
- image compression
- feature selection
- large margin classifiers
- rbf kernel
- hyperplane
- svm classifier
- kernel pca
- mercer kernels
- kernel machines
- kernel trick
- feature vectors
- high dimensional feature space
- vector quantizer
- input space
- feature extraction
- training samples
- radial basis function
- polynomial kernels
- multiple kernel learning
- linear discriminant analysis
- support vectors
- kernel logistic regression
- high dimensional
- loss function
- reduced complexity
- distortion measure
- machine learning
- kernel matrix
- principal component analysis
- support vector machine svm
- input vector
- image classification
- entropy constrained
- codebook design
- image retrieval
- neural network
- finite state vector quantization
- kernel principal component analysis
- speaker recognition
- text classification
- input data
- kernel learning
- wavelet transform
- fractal image coding
- computational complexity