Kernel functions based on triplet similarity comparisons.
Matthäus KleindessnerUlrike von LuxburgPublished in: CoRR (2016)
Keyphrases
- kernel function
- support vector
- kernel methods
- feature space
- input space
- support vector machine
- kernel matrix
- dot product
- kernel learning
- support vector regression
- hyperplane
- positive semi definite
- reproducing kernel hilbert space
- feature maps
- representer theorem
- high dimensional feature space
- gaussian kernels
- similarity measure
- similarity function
- svm classifier
- distance measure
- high dimensional
- support vectors
- feature set
- polynomial kernels
- feature selection
- kernel matrices
- machine learning
- positive semidefinite
- neural network