An unsupervised approach to learn the kernel functions: from global influence to local similarity.
M. Ehsan AbbasnejadDhanesh RamachandramMandava RajeswariPublished in: Neural Comput. Appl. (2011)
Keyphrases
- kernel function
- kernel methods
- support vector
- input space
- feature space
- support vector regression
- support vector machine
- positive semi definite
- kernel matrix
- similarity function
- high dimensional
- similarity measure
- kernel learning
- high dimensional feature space
- reproducing kernel hilbert space
- dot product
- polynomial kernels
- kernel trick
- distance measure
- positive semidefinite
- multiple kernel learning
- feature set
- representer theorem
- kernel matrices
- neural network
- gaussian kernels
- hyperplane
- distance function
- pairwise
- image processing
- computer vision