Multi-class image segmentation using conditional random fields and global classification.
Nils PlathMarc ToussaintShinichi NakajimaPublished in: ICML (2009)
Keyphrases
- multi class
- multiclass classification
- multi class classifier
- multi class classification
- support vector machine
- binary and multi class
- multiple classes
- binary classifiers
- image segmentation
- multi class boosting
- class probabilities
- cost sensitive
- multiclass problems
- multi class svms
- multi class svm
- error correcting output codes
- feature selection
- multi class classifiers
- binary classification problems
- protein classification
- binary classification
- object detection
- pairwise
- support vector
- classification accuracy
- probabilistic boosting tree
- image classification
- multi class problems
- support vector machine svm
- kernel logistic regression
- single class
- class labels
- large margin classifiers
- binary classification tasks
- class distribution
- cost sensitive learning
- neural network
- protein sequences
- classification algorithm
- cross validation
- text classification
- feature vectors
- training set
- feature space
- feature extraction
- decision trees
- computer vision