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@TECHREPORT{grangier:2006:idiap-06-15,
         author = {Grangier, David and Monay, Florent and Bengio, Samy},
       projects = {Idiap},
          title = {A Discriminative Approach for the Retrieval of Images from Text Queries},
           type = {Idiap-RR},
         number = {Idiap-RR-15-2006},
           year = {2006},
    institution = {IDIAP},
       abstract = {This work proposes a new approach to the retrieval of images from text queries. Contrasting with previous work, this method relies on a discriminative approach: the parameters are selected in order to minimize a loss related to the ranking performance of the model, i.e. its ability to rank the relevant pictures above the non-relevant ones when given a text query. In order to minimize this loss, we introduce an adaptation of the recently proposed Passive-Aggressive algorithm. The generalization performance of this approach is then compared with alternative models over the Corel dataset. These experiments show that our method outperforms the current state-of-the-art approaches, e.g. the average precision over Corel test data is 21.6\\% for our model versus 16.7\\% for the best alternative, Probabilistic Latent Semantic Analysis},
            pdf = {https://publications.idiap.ch/attachments/reports/2006/grangier_rr06-15.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2006/grangier_rr06-15.ps.gz},
ipdmembership={speech},
}