How is a data-driven approach better than random choice in label space division for multi-label classification?
Piotr SzymanskiTomasz KajdanowiczKristian KerstingPublished in: CoRR (2016)
Keyphrases
- label space
- multi label classification
- multi label
- semi supervised learning
- classification algorithm
- binary classification
- text categorization
- semi supervised
- max margin
- image annotation
- meta level
- markov networks
- learning tasks
- binary classifiers
- text classification
- graph cuts
- superpixels
- image classification
- multiple labels
- support vector
- data sets
- markov random field