Mahalanobis kernel based on probabilistic principal component.
Mathieu FauvelAlberto VillaJocelyn ChanussotJón Atli BenediktssonPublished in: IGARSS (2011)
Keyphrases
- principal components
- principal component analysis
- kernel space
- correlation coefficient
- multivariate data
- principal component regression
- dimensionality reduction
- covariance matrix
- support vector
- mahalanobis distance
- generative model
- hyperplane
- linear classifiers
- principal components analysis
- probabilistic model
- distance metric
- online learning
- feature set
- kernel methods
- discriminant analysis
- dimension reduction
- euclidean distance
- data sets