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 [BibTeX] [Marc21]
A Discriminative Approach for the Retrieval of Images from Text Queries
Type of publication: Conference paper
Citation: grangier:2006:ecml
Booktitle: European Conference on Machine Learning (ECML)
Year: 2006
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 model: 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.
Userfields: ipdmembership={Learning}, ipdxref={techreport:grangier_rr06-15.bib},
Projects Idiap
Authors Grangier, David
Monay, Florent
Bengio, Samy
Added by: [UNK]
Total mark: 0
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