Kernel Mean Shrinkage Estimators.
Krikamol MuandetKenji FukumizuBharath K. SriperumbudurArthur GrettonBernhard SchölkopfPublished in: CoRR (2014)
Keyphrases
- nadaraya watson
- kernel regression
- kernel density estimator
- kernel methods
- denoising
- image denoising
- conditional density estimation
- kernel function
- regression model
- component analysis
- kernel density estimators
- analytical expressions
- reproducing kernel hilbert space
- wavelet domain
- feature space
- support vector
- feature selection
- kernel density estimation
- kernel machines
- neural network
- low rank
- convolution kernel