Kernel Mean Shrinkage Estimators.
Krikamol MuandetBharath K. SriperumbudurKenji FukumizuArthur GrettonBernhard SchölkopfPublished in: J. Mach. Learn. Res. (2016)
Keyphrases
- nadaraya watson
- kernel regression
- kernel density estimator
- kernel methods
- support vector
- denoising
- kernel function
- kernel machines
- convolution kernel
- sparse kernel
- density ratio
- variance estimator
- multiresolution
- image denoising
- kernel space
- kernel density estimation
- kernel matrix
- positive definite
- reproducing kernel hilbert space
- machine learning
- gaussian processes
- wavelet domain
- multiscale
- face recognition
- genetic algorithm