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- W2094874265 abstract "Visual information retrieval has become a major research area due to increasing rate at which images are generated in many application. This paper addresses an important problems related to the content-based images retrieval. It concerns the vector representation of images and its proper use in image retrieval. Indeed, we propose a new model of content-based image retrieval allowing to integrate theories of neural network on a vector space model, where each low level query can be transformed into a score vector. Preliminary results obtained show that our proposed model is effective in a comparative study on two dataset Corel and Caltech-UCSD." @default.
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- W2094874265 date "2014-11-01" @default.
- W2094874265 modified "2023-10-15" @default.
- W2094874265 title "Content-based image retrieval system using neural network" @default.
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- W2094874265 doi "https://doi.org/10.1109/aiccsa.2014.7073271" @default.
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