Stochastic Online Kernel Selection with Instantaneous Loss in Random Feature Space.
Zhizhuo HanShizhong LiaoPublished in: ICONIP (1) (2017)
Keyphrases
- feature space
- kernel function
- kernel methods
- input space
- feature vectors
- online learning
- high dimensional
- mean shift
- training samples
- kernel pca
- kernel space
- feature selection
- real time
- pre selected
- kernel matrix
- monte carlo
- kernel trick
- high dimensionality
- high dimensional feature space
- dot product
- classification accuracy
- image retrieval
- class separability
- mercer kernel
- mercer kernels
- kernel based nonlinear
- kernel principal component analysis
- low dimensional
- support vector machine
- data points
- support vector
- gaussian kernels
- random selection
- feature set
- training set
- generalized discriminant analysis
- feature extraction
- social networks