Belief Theory for Large-Scale Multi-label Image Classification.
Amel ZnaidiaHervé Le BorgneCéline HudelotPublished in: Belief Functions (2012)
Keyphrases
- multi label
- image classification
- multi label classification
- bag of words
- multi label learning
- image annotation
- binary classification
- classifier training
- text categorization
- visual features
- multi instance
- image representation
- image features
- visual words
- svm classifier
- graph cuts
- protein function prediction
- label space
- multiple labels
- hierarchical text categorization
- text classification
- scene classification
- bag of features
- meta level
- image processing
- neural network