%Aigaion2 BibTeX export from Idiap Publications
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@INPROCEEDINGS{Tommasi_IMAGECLEF_2008,
         author = {Tommasi, Tatiana and Orabona, Francesco and Caputo, Barbara},
         editor = {Peters, Carol and Giampiccolo, Danilo and Ferro, Nicola},
       projects = {Idiap, EMMA},
          title = {An SVM Confidence-Based Approach to Medical Image Annotation},
      booktitle = {Workshop of the Cross-Language Evaluation Forum},
         series = {LNCS},
           year = {2008},
       abstract = {This paper presents the algorithms and results of the {\^{a}}€{\oe}idiap{\^{a}}€
team participation to the ImageCLEFmed annotation task in 2008. On
the basis of our successful experience in 2007 we decided to integrate
two different local structural and textural descriptors. Cues are com-
bined through concatenation of feature vectors and through the Multi-
Cue Kernel. The challenge this year was to annotate images coming
mainly from classes with only few training examples. We tackled the
problem on two fronts: (1) we introduced a further integration strategy
using SVM as an opinion maker; (2) we enriched the poorly populated
classes adding virtual examples. We submitted several runs considering
different combinations of the proposed techniques. The run jointly using
the feature concatenation, the confidence-based opinion fusion and the
virtual examples ranked first among all submissions.},
            pdf = {https://publications.idiap.ch/attachments/papers/2009/Tommasi_IMAGECLEF_2008.pdf}
}