A supervised Bayesian approach for simultaneous segmentation and classification.
Daniel C. ZanottaMatheus Pinheiro FerreiraMaciel ZorteaJean A. EspinozaYosio ShimabukuroPublished in: IGARSS (2015)
Keyphrases
- simultaneous segmentation
- supervised learning
- machine learning
- supervised classification
- pattern recognition
- automatic classification
- classification accuracy
- document classification
- classification method
- preprocessing
- classification algorithm
- classification systems
- unsupervised learning
- text classification
- decision trees
- pattern classification
- machine learning algorithms
- feature selection
- support vector machine
- image classification
- semi supervised
- feature vectors
- object classification
- cross validation
- support vector
- classification scheme
- benchmark data sets
- feature extraction
- training phase
- restricted boltzmann machine
- supervised training
- data mining
- classification rules
- class labels
- benchmark datasets
- training samples
- feature set
- training set
- bayesian networks
- image segmentation