KMOD - A Tw o-Parameter SVM Kernel for Pattern Recognition.
Nedjem-Eddine AyatMohamed CherietChing Y. SuenPublished in: ICPR (3) (2002)
Keyphrases
- pattern recognition
- kernel parameters
- support vector
- support vector machine svm
- kernel function
- gaussian kernel
- kernel methods
- support vector machine
- svm classification
- rbf kernel
- kernel space
- gaussian processes
- kernel machines
- polynomial kernels
- optimal parameters
- feature space
- svm classifier
- learning machines
- machine learning
- radial basis function kernel
- decision function
- neural network
- signal processing
- regularization parameter
- multiple kernel learning
- feature extraction
- image processing
- radial basis function
- knn
- multiple kernel
- computer vision
- k nearest neighbor
- training process
- dimensionality reduction
- kernel pca
- kernel learning
- feature vectors
- parameter values
- input space
- string kernels
- pattern recognition problems
- hyperplane
- gaussian kernels
- kernel matrix
- multi class classification
- generalization ability
- multi class
- image analysis
- training set
- feature selection
- reproducing kernel hilbert space
- support vector regression
- parameter settings
- classification method
- classification algorithm
- loss function
- high dimensional
- histogram intersection kernel