On the benefits of output sparsity for multi-label classification.
Evgenii ChzhenChristophe DenisMohamed HebiriJoseph SalmonPublished in: CoRR (2017)
Keyphrases
- multi label classification
- multi label
- semi supervised learning
- image annotation
- text categorization
- binary classification
- multi class
- label space
- semi supervised
- classification algorithm
- meta level
- binary classifiers
- image classification
- image database
- active learning
- learning tasks
- high dimensional
- graph cuts
- machine learning algorithms
- learning problems
- high level
- decision trees
- feature selection