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  Narrowing the semantic gap - improved text-based web document retrieval using visual features (2002) [26 citations — 2 self]

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by Rong Zhao, William I. Grosky
IEEE Transactions on Multimedia
http://www.cs.sunysb.edu/~roz/publications/TransMultimedia.pdf
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Abstract:

Abstract – In this paper, we present the results of our work that seeks to negotiate the gap between low-level features and high-level concepts in the domain of web document retrieval. This work concerns a technique, Latent Semantic Indexing (LSI), which has been used for textual information retrieval for many years. In this environment, LSI is used to determine clusters of co-

Citations

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