Addressing the ImageClef 2009 challenge using a patch-based visual words representation

U. Avni, J. Goldberger, H. Greenspan

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper describes our participation at the ImageClef 2009 medical annotation task. In this task we have used the bag-of-words approach for image representation. We submitted one run, using support-vector-machines trained on the visual word histograms in multiple scales. In this task our result ranked first, with error score of 852.8.

Original languageEnglish
JournalCEUR Workshop Proceedings
Volume1175
StatePublished - 2009
Event2009 Cross Language Evaluation Forum Workshop, CLEF 2009, co-located with the 13th European Conference on Digital Libraries, ECDL 2009 - Corfu, Greece
Duration: 30 Sep 20092 Oct 2009

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