Enhance Via Decoupling: Improving Multi-Label Classifiers With Variational Feature Augmentation.
Ming ChenGuijin WangJing-Hao XueZijian DingLi SunPublished in: ICIP (2021)
Keyphrases
- multi label
- multi label classification
- class labels
- text categorization
- image classification
- feature set
- multi label learning
- graph cuts
- text classification
- classifier training
- multi instance
- image annotation
- multi label image annotation
- binary classification
- max margin
- binary classifiers
- classification algorithm
- training data
- hierarchical text categorization
- image segmentation
- feature selection
- multiple labels
- svm classifier
- naive bayes
- image features
- training samples
- support vector
- computer vision
- data sets
- higher order
- supervised learning
- training set
- data analysis
- multiclass classification
- decision trees
- learning algorithm
- machine learning
- protein function prediction
- data mining
- neural network