Model Selection for Gaussian Kernel PCA Denoising.
Kasper Winther JørgensenLars Kai HansenPublished in: IEEE Trans. Neural Networks Learn. Syst. (2012)
Keyphrases
- model selection
- kernel pca
- denoising
- kernel matrix
- cross validation
- image denoising
- hyperparameters
- principal component analysis
- kernel methods
- parameter estimation
- sample size
- total variation
- dimensionality reduction
- noisy images
- image processing
- face recognition
- mixture model
- spectral clustering
- regression model
- machine learning
- kernel function
- feature selection
- input space
- support vector machine
- generalization error
- variable selection
- maximum likelihood
- feature extraction
- model selection criteria
- gaussian process
- feature space
- unsupervised learning
- pattern recognition
- independent component analysis
- computer vision