Explicit signal to noise ratio in reproducing kernel Hilbert spaces.
Luis Gómez-ChovaAllan Aasbjerg NielsenGustavo Camps-VallsPublished in: IGARSS (2011)
Keyphrases
- signal to noise ratio
- reproducing kernel hilbert space
- noise reduction
- kernel methods
- reproducing kernel
- loss function
- learning theory
- kernel function
- euclidean space
- special case
- data dependent
- density estimation
- distance measure
- minimum mean square error
- real valued
- edge detection
- bit error rate
- input space
- gaussian process
- domain adaptation
- kernel matrix
- metric learning
- least squares
- hilbert space
- feature selection
- learning tasks
- pairwise
- image segmentation