A multiple instance learning approach for sequence data with across bag dependencies.
Manel ZoghlamiSabeur AridhiHaïtham SghaierMondher MaddouriEngelbert Mephu NguifoPublished in: CoRR (2016)
Keyphrases
- sequence data
- multiple instance learning
- diverse density
- multiple instance
- single instance
- positive bags
- image categorization
- supervised learning
- multi class
- sequence classification
- image annotation
- object based image retrieval
- semi supervised
- profile hidden markov models
- semi supervised learning
- visual features
- class labels
- learning problems
- multi instance
- multi modal
- high dimensional
- decision trees
- data sets