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MTA
2002
166views more  MTA 2002»
13 years 8 months ago
MUSE: A Content-Based Image Search and Retrieval System Using Relevance Feedback
ThefieldofContent-BasedVisualInformationRetrieval(CBVIR)hasexperiencedtremendousgrowth in the recent years and many research groups are currently working on solutions to the proble...
Oge Marques, Borko Furht
PRIS
2001
13 years 10 months ago
Relevance Feedback in Content-based Image Search
: Content-based image retrieval (CBIR) is a research area dedicated to address the retrieve and search multimedia documents for digital libraries. Relevance feedback is a powerful ...
HongJiang Zhang
CIKM
2006
Springer
14 years 8 days ago
Re-ranking search results using query logs
This work addresses two common problems in search, frequently occurring with underspecified user queries: the top-ranked results for such queries may not contain documents relevan...
Ziming Zhuang, Silviu Cucerzan
ICAIL
2007
ACM
13 years 10 months ago
Legal Query Expansion using Ontologies and Relevance Feedback
The aim of our research is the improvement of Boolean search with query expansion using lexical ontologies and user feedback. User studies strongly suggest that standard search tec...
Erich Schweighofer, Anton Geist
WWW
2003
ACM
14 years 9 months ago
Yellow Pages on the Semantic Web
Yellow pages catalogs and corresponding directory services on the web are a widely used business concept for helping people to find companies providing services and selling product...
Antti J. Hätinen, Eero Hyvönen, Kim Vilj...