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.
|Journal||CEUR Workshop Proceedings|
|State||Published - 2009|
|Event||2009 Cross Language Evaluation Forum Workshop, CLEF 2009, co-located with the 13th European Conference on Digital Libraries, ECDL 2009 - Corfu, Greece|
Duration: 30 Sep 2009 → 2 Oct 2009