Feature Kernel Functions: Improving SVMs Using High-Level Knowledge.
Qiang SunGerald DeJongPublished in: CVPR (2) (2005)
Keyphrases
- kernel function
- high level knowledge
- support vector
- feature maps
- feature set
- kernel methods
- svm classification
- feature space
- support vectors
- input space
- high dimensional feature space
- support vector regression
- support vector machine
- kernel matrix
- feature vectors
- svm classifier
- polynomial kernels
- gaussian kernels
- high dimensional
- kernel learning
- kernel pca
- hyperplane
- higher level
- image features
- feature selection
- representer theorem
- learning problems
- multiple features
- low level features
- data sets
- object recognition
- training data
- computer vision