Noise Level Estimation for Model Selection in Kernel PCA Denoising.
Carolina VaronCarlos AlzateJohan A. K. SuykensPublished in: IEEE Trans. Neural Networks Learn. Syst. (2015)
Keyphrases
- model selection
- noise level
- denoising
- noisy images
- kernel pca
- hyperparameters
- kernel matrix
- parameter estimation
- image denoising
- cross validation
- principal component analysis
- kernel methods
- total variation
- noise reduction
- dimensionality reduction
- image processing
- spectral clustering
- machine learning
- feature selection
- sample size
- variable selection
- unsupervised learning
- semi supervised
- kernel function
- natural images
- input space
- feature extraction
- data mining
- ls svm