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 language | English |
|---|---|
| Journal | CEUR Workshop Proceedings |
| Volume | 1175 |
| State | Published - 2009 |
| Externally published | Yes |
| 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 |