Regularized denoising latent subspace based linear regression for image classification.
Ziyi SuWang WenboWeibin ZhangPublished in: Pattern Anal. Appl. (2023)
Keyphrases
- linear regression
- denoising
- image classification
- least squares
- feature extraction
- image denoising
- noisy images
- image processing
- regression methods
- total variation
- low dimensional
- regression problems
- natural images
- latent variables
- higher order singular value decomposition
- image features
- feature space
- high dimensional data
- nonlinear regression
- ridge regression
- dimensionality reduction
- locally weighted
- linear regression model
- regression method
- denoising methods
- principal component analysis
- linear models
- high dimensional
- generalized linear models
- sparse regression
- machine learning
- risk minimization
- regression trees
- discriminant analysis
- multivariate regression
- nearest neighbor