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- W2094923312 abstract "We explore the application of a graph representation to model similarity relationships that exist among images found on the Web. The resulting similarity-induced graph allows us to model in a unified way different types of content-based similarities, as well as semantic relationships. Content-based similarities include different image descriptors, and semantic similarities can include relevance user feedback from search engines. The goal of our representation is to provide an experimental framework for combining apparently unrelated metrics into a unique graph structure, which allows us to enhance the results of Web image retrieval. We evaluate our approach by re-ranking Web image search results." @default.
- W2094923312 created "2016-06-24" @default.
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- W2094923312 date "2010-10-26" @default.
- W2094923312 modified "2023-09-27" @default.
- W2094923312 title "Visual-semantic graphs" @default.
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- W2094923312 doi "https://doi.org/10.1145/1871437.1871670" @default.
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