On building ensembles of stacked denoising auto-encoding classifiers and their further improvement.
Ricardo F. Alvear-SandovalAníbal R. Figueiras-VidalPublished in: Inf. Fusion (2018)
Keyphrases
- denoising
- ensemble learning
- decision trees
- image denoising
- weighted voting
- ensemble classifier
- diversity measures
- training data
- classifier ensemble
- noisy images
- ensemble methods
- majority voting
- classification models
- image processing
- combining classifiers
- total variation
- svm classifier
- support vector
- training set
- natural images
- test set
- machine learning algorithms
- naive bayes
- gaussian noise
- multiple classifier systems
- trained classifiers
- classification algorithm
- data sets
- semi supervised
- denoising methods
- denoising algorithm
- imbalanced data
- individual classifiers
- training samples
- generalization ability
- prediction accuracy