Addressing class-imbalance in multi-label learning via two-stage multi-label hypernetwork.
Kai-wei SunChong Ho LeePublished in: Neurocomputing (2017)
Keyphrases
- multi label learning
- class imbalance
- multi label
- cost sensitive
- class distribution
- text categorization
- binary classification
- multi label classification
- active learning
- image classification
- graph cuts
- image annotation
- class labels
- text classification
- learning tasks
- imbalanced datasets
- feature selection
- multiple labels
- unlabeled data
- high dimensionality
- concept drift
- semi supervised learning
- semi supervised
- labeled data
- data sets
- face recognition
- markov random field
- support vector
- image processing
- feature set