Sensing-aware kernel SVM.
Weicong DingPrakash IshwarVenkatesh SaligramaW. Clem KarlPublished in: ICASSP (2014)
Keyphrases
- support vector
- kernel function
- kernel methods
- kernel space
- kernel parameters
- support vector machine svm
- rbf kernel
- kernel machines
- multiple kernel learning
- svm classification
- support vector machine
- polynomial kernels
- feature space
- decision function
- kernel matrix
- support vectors
- svm classifier
- histogram intersection kernel
- gaussian kernel
- kernel pca
- string kernels
- least squares support vector machine
- input space
- maximum margin
- sparse kernel
- multiple kernel
- kernel learning
- hyperplane
- ls svm
- radial basis function
- logistic regression
- knn
- feature selection
- generalization ability
- feature maps
- reproducing kernel hilbert space
- sensor networks
- data points
- positive definite
- linear svm
- kernel support vector machines
- classification and regression problems
- kernel ridge regression
- real time
- learning machines
- gaussian processes
- support vector regression
- learning problems
- classification algorithm
- high dimensional
- multi class classification
- large margin classifiers
- loss function
- k nearest neighbor
- multi class
- mercer kernel
- pattern recognition