Multiple-instance learning as a classifier combining problem
- 1 March 2013
- journal article
- Published by Elsevier BV in Pattern Recognition
- Vol. 46 (3), 865-874
- https://doi.org/10.1016/j.patcog.2012.08.018
Abstract
No abstract availableThis publication has 21 references indexed in Scilit:
- MILIS: Multiple Instance Learning with Instance SelectionIEEE Transactions on Pattern Analysis and Machine Intelligence, 2010
- A review of multi-instance learning assumptionsThe Knowledge Engineering Review, 2010
- Visual tracking with online Multiple Instance LearningPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2009
- Human Action Recognition in Videos Using Kinematic Features and Multiple Instance LearningIEEE Transactions on Pattern Analysis and Machine Intelligence, 2008
- Learning classifiers from only positive and unlabeled dataPublished by Association for Computing Machinery (ACM) ,2008
- MILES: Multiple-Instance Learning via Embedded Instance SelectionIEEE Transactions on Pattern Analysis and Machine Intelligence, 2006
- On combining classifiers using sum and product rulesPattern Recognition Letters, 2001
- Experiments with Classifier Combining RulesLecture Notes in Computer Science, 2000
- A Note on Learning from Multiple-Instance ExamplesMachine Learning, 1998
- Solving the multiple instance problem with axis-parallel rectanglesArtificial Intelligence, 1997