Document Image Classification Via AdaBoost and ECOC Strategies Based on SVM Learners.
Mehmet AhatCagdas UlasOnur AginPublished in: IJCCI (NCTA) (2014)
Keyphrases
- multi class
- image classification
- support vector
- svm classifier
- multi class classification
- error correcting output codes
- multiclass classification
- support vector machine
- svm classification
- feature selection
- support vector machine svm
- image representation
- multi class learning
- learning activities
- binary classifiers
- feature extraction
- binary classification
- base classifiers
- information retrieval
- training data
- object detection
- learning environment
- information retrieval systems
- document images
- e learning
- adaboost algorithm
- learning experience
- knn
- face detection
- image features
- learning styles
- web documents
- document collections
- bag of words
- generalization ability
- pairwise
- retrieval strategies
- machine learning
- base learners
- error correcting output coding
- feature vectors
- learning algorithm
- binary classification problems
- text classifiers
- training set
- document classification
- classification algorithm
- text mining
- text classification
- collaborative learning