A gene expression programming approach for evolving multi-class image classifiers.
Nelson Marcelo Romero AquinoManassés RibeiroMatheus GutoskiCésar Manuel Vargas BenítezHeitor Silvério LopesPublished in: LA-CCI (2017)
Keyphrases
- multi class
- gene expression programming
- binary classifiers
- feature selection
- multi label classification
- image features
- multi class classification
- image content
- multi class classifier
- pairwise
- error correcting output codes
- image retrieval
- genetic programming
- ensemble classifier
- multi class problems
- evolutionary computation
- binary classification
- image representation
- object detection
- support vector machine
- data sets
- decision trees
- image classification
- image segmentation
- cost sensitive
- base classifiers
- training data
- neural network
- machine learning
- similarity measure
- support vector
- fusion method
- test images
- markov random field
- cross validation
- svm classifier
- machine learning algorithms