Improving classification using a Confidence Matrix based on weak classifiers applied to OCR.
Juan Ramón Rico-JuanJorge Calvo-ZaragozaPublished in: Neurocomputing (2015)
Keyphrases
- weak classifiers
- classification accuracy
- machine learning
- linear combination
- supervised learning
- classification method
- decision trees
- weak learners
- cross validation
- training set
- support vector
- image classification
- text classification
- training samples
- class labels
- multi class classification
- feature extraction
- d objects
- feature vectors
- mean shift
- adaboost algorithm
- strong classifier