Risk Minimization Framework for Multiple Instance Learning from Positive and Unlabeled Bags.
Han BaoTomoya SakaiIssei SatoMasashi SugiyamaPublished in: CoRR (2017)
Keyphrases
- multiple instance learning
- risk minimization
- multiple instance
- supervised learning
- image categorization
- positive bags
- multi class
- semi supervised learning
- object based image retrieval
- semi supervised
- instance selection
- image annotation
- diverse density
- loss function
- class labels
- positive and negative
- unlabeled data
- unsupervised learning
- prior knowledge
- multiscale
- training data
- computer vision
- learning problems
- data sets
- training examples
- training set
- single instance