Kernel Mean Estimation by Marginalized Corrupted Distributions.
Xiaobo XiaShuo ShanMingming GongNannan WangFei GaoHaikun WeiTongliang LiuPublished in: CoRR (2021)
Keyphrases
- graph kernels
- kernel density estimation
- probability distribution
- kernel function
- support vector
- random variables
- estimation algorithm
- convolution kernel
- kullback leibler distance
- parzen window
- kullback leibler divergence
- probability density
- robust estimation
- density estimation
- probability density function
- kernel pca
- kernel methods
- feature space
- power law
- accurate estimation
- estimation accuracy
- noise free
- kernel machines
- multi class
- semi parametric
- positive definite
- color images
- data sets