Fast Image Classification by Boosting Fuzzy Classifiers.
Marcin KorytkowskiLeszek RutkowskiRafal SchererPublished in: CoRR (2016)
Keyphrases
- image classification
- svm classifier
- classifier training
- ensemble learning
- weak classifiers
- boosting algorithms
- ensemble classifier
- weak learners
- boosting framework
- randomized trees
- feature selection
- adaboost algorithm
- fuzzy sets
- fuzzy logic
- improving classification accuracy
- majority voting
- feature extraction
- training data
- membership functions
- bag of words
- image representation
- strong classifier
- decision stumps
- multiclass classification
- accurate classifiers
- multiple classifier systems
- machine learning algorithms
- decision trees
- face detection
- multi label
- boosted classifiers
- support vector
- discriminative classifiers
- supervised classification
- image features
- class specific
- ensemble classification
- fuzzy rules
- neural network
- classification trees
- feature set
- linear classifiers
- training samples
- naive bayes
- loss function
- bayesian classifiers
- combining classifiers
- machine learning
- fuzzy numbers
- visual words
- training examples
- base learners
- base classifiers
- ensemble methods
- weighted voting
- fuzzy clustering
- logistic regression
- multi class
- object recognition
- image processing
- computer vision