Boosting on Manifolds: Adaptive Regularization of Base Classifiers.
Balázs KéglLigen WangPublished in: NIPS (2004)
Keyphrases
- base classifiers
- adaptive regularization
- parameter selection
- ensemble methods
- multi class
- super resolution
- ensemble learning
- image deblurring
- total variation
- decision trees
- training set
- regularization parameter
- training samples
- naive bayes
- test data
- ensemble classifier
- class labels
- boosting algorithms
- class distribution
- cost sensitive
- blind image deconvolution
- base learners
- feature set
- high resolution
- cross validation
- benchmark datasets
- model selection
- denoising
- supervised learning
- pairwise
- feature space
- face recognition