Hybrid ensemble of classifiers for logo and trademark symbols recognition.
Boguslaw CyganekPublished in: Soft Comput. (2015)
Keyphrases
- ensemble learning
- classifier ensemble
- ensemble classifier
- training data
- multiple classifiers
- ensemble pruning
- recognition accuracy
- feature selection
- majority voting
- recognition rate
- training set
- object recognition
- improve recognition accuracy
- final classification
- decision tree classifiers
- combining classifiers
- symbol recognition
- machine learning algorithms
- naive bayes
- majority vote
- randomized trees
- weighted voting
- ensemble methods
- base classifiers
- individual classifiers
- weak learners
- decision trees
- handwritten digit recognition
- trained classifiers
- one class support vector machines
- class label noise
- feature extraction
- recognition algorithm
- feature set
- weak classifiers
- linear classifiers
- pruning algorithm
- pattern recognition
- support vector machine
- ensemble members
- ensemble classification
- neural network
- mining concept drifting data streams
- learning algorithm
- bias variance decomposition
- classification accuracy
- diversity measures
- handwritten words
- text classification
- training samples
- classification models
- multiple classifier systems
- random forest
- classifier combination
- imbalanced data
- publicly available data sets
- feature subset
- rule induction algorithm
- face recognition