Active learning with ensembles for image classification

Huan Liu, A. Mandvikar, P. Foschi, K. Torkkola

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

In many real-world tasks of image classification, limited amounts of labeled data are available to train automatic classifiers. Consequently, extensive human expert involvement is required for verification. A novel solution is presented that makes use of active learning combined with an ensemble of classifiers for each class. The result is a significant reduction in required expert involvement for uncertain image region classification.

Original languageEnglish (US)
Title of host publicationIJCAI International Joint Conference on Artificial Intelligence
Pages1435-1436
Number of pages2
StatePublished - 2003
Event18th International Joint Conference on Artificial Intelligence, IJCAI 2003 - Acapulco, Mexico
Duration: Aug 9 2003Aug 15 2003

Other

Other18th International Joint Conference on Artificial Intelligence, IJCAI 2003
CountryMexico
CityAcapulco
Period8/9/038/15/03

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ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Liu, H., Mandvikar, A., Foschi, P., & Torkkola, K. (2003). Active learning with ensembles for image classification. In IJCAI International Joint Conference on Artificial Intelligence (pp. 1435-1436)