On general purpose time series similarity measures and their use as kernel functions in support vector machines.
Helmuth PreeBenjamin HerwigThiemo GruberBernhard SickKlaus DavidPaul LukowiczPublished in: Inf. Sci. (2014)
Keyphrases
- kernel function
- general purpose
- support vector
- similarity measure
- large margin classifiers
- learning machines
- kernel methods
- feature space
- support vector machine
- input space
- kernel parameters
- svm classifier
- hyperplane
- kernel matrix
- support vectors
- feature selection
- high dimensional
- support vector regression
- loss function
- feature vectors
- rbf kernel
- kernel learning
- generalization ability
- similarity function
- classification accuracy
- polynomial kernels
- multiple kernel learning
- high dimensional feature space
- cross validation
- similarity search
- feature set
- reproducing kernel hilbert space
- multi class
- gaussian kernels
- svm classification
- face recognition
- multivariate time series
- kernel machines
- pairwise
- feature extraction
- distance measure
- non stationary