Using SDP to Parameterize Universal Kernel Functions.
Brendon K. ColbertMatthew M. PeetPublished in: CDC (2019)
Keyphrases
- kernel function
- kernel matrix
- semidefinite programming
- kernel learning
- support vector
- kernel methods
- support vector machine
- feature space
- input space
- high dimensional
- high dimensional feature space
- support vectors
- support vector regression
- semidefinite
- reproducing kernel hilbert space
- hyperplane
- svm classifier
- linear programming
- feature set
- polynomial kernels
- tree kernels
- kernel trick
- kernel matrices
- feature vectors
- pairwise
- face recognition
- machine learning
- neural network