Exact Heat Kernel on a Hypersphere and Its Applications in Kernel SVM.
Chenchao ZhaoJun S. SongPublished in: Frontiers Appl. Math. Stat. (2018)
Keyphrases
- heat kernel
- support vector
- graph laplacian
- kernel machines
- kernel function
- hyperplane
- euclidean distance
- kernel methods
- support vector machine svm
- support vector machine
- shape analysis
- feature space
- multiple kernel learning
- laplace beltrami
- weight matrix
- support vectors
- graph structure
- shape descriptors
- laplacian eigenmaps
- shape matching
- kernel pca
- gaussian kernel
- minimum spanning tree
- machine learning
- input space
- positive definite
- feature vectors
- multi class
- feature selection
- learning machines
- similarity measure
- scale space
- spectral clustering
- data points
- basis functions
- multi task
- spectral analysis
- geodesic distance
- learning problems
- vector space
- supervised learning
- distance measure
- semi supervised learning