A statistical approach for simultaneous segmentation and classification.
Daniel C. ZanottaMatheus Pinheiro FerreiraMaciel ZorteaYosio ShimabukuroPublished in: IGARSS (2014)
Keyphrases
- simultaneous segmentation
- decision trees
- machine learning
- pattern recognition
- classification accuracy
- support vector machine svm
- classification process
- classification systems
- automatic classification
- pattern classification
- classification algorithm
- benchmark datasets
- model selection
- feature vectors
- training set
- maximum entropy modeling
- supervised learning
- image classification
- feature selection
- machine learning algorithms
- classification models
- feature extraction
- preprocessing
- classification method
- support vector
- training data
- statistical models
- object classification
- supervised classification
- statistical information
- image segmentation
- document classification
- machine learning methods
- decision rules
- svm classifier
- data mining
- recognition rate
- support vector machine