Signal-to-noise ratio in reproducing kernel Hilbert spaces.
Luis Gómez-ChovaRaúl Santos-RodríguezGustau Camps-VallsPublished in: Pattern Recognit. Lett. (2018)
Keyphrases
- signal to noise ratio
- reproducing kernel hilbert space
- reproducing kernel
- loss function
- noise reduction
- kernel methods
- kernel function
- learning theory
- data dependent
- domain adaptation
- gaussian process
- euclidean space
- special case
- distance measure
- density estimation
- real valued
- input space
- edge detection
- hilbert space
- learning problems
- bit error rate
- minimum mean square error
- kernel matrix
- linear model
- feature space
- similarity measure
- gaussian noise
- machine learning
- noisy images
- feature vectors
- learning tasks
- labeled data