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» Adaptive relevance feedback in information retrieval
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MM
2006
ACM
164views Multimedia» more  MM 2006»
15 years 3 months ago
Scalable relevance feedback using click-through data for web image retrieval
Relevance feedback (RF) has been extensively studied in the content-based image retrieval community. However, no commercial Web image search engines support RF because of scalabil...
En Cheng, Feng Jing, Lei Zhang, Hai Jin
CLEF
2007
Springer
15 years 3 months ago
Using Pseudo-Relevance Feedback to Improve Image Retrieval Results
In this paper, we propose a pseudo-relevance feedback method to deal with the photographic retrieval and medical retrieval tasks of ImageCLEF 2007. The aim of our participation to...
Mouna Torjmen, Karen Pinel-Sauvagnat, Mohand Bough...
INEX
2005
Springer
15 years 3 months ago
TIJAH Scratches INEX 2005: Vague Element Selection, Image Search, Overlap, and Relevance Feedback
Retrieving information from heterogeneous data sources in a flexible manner and within a single (database) framework is still a challenge. In this paper we present several extensi...
Vojkan Mihajlovic, Georgina Ramírez, Thijs ...
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VISUAL
1999
Springer
15 years 1 months ago
Relevance Feedback and Term Weighting Schemes for Content-Based Image Retrieval
This paper describes the application of techniques derived from text retrieval research to the content-based querying of image databases. Speci cally, the use of inverted les, fre...
David Squire, Wolfgang Müller 0002, Henning M...
ECIR
2003
Springer
14 years 11 months ago
A Hybrid Relevance-Feedback Approach to Text Retrieval
Abstract. Relevance feedback (RF) has been an effective query modification approach to improving the performance of information retrieval (IR) by interactively asking a user whet...
Zhao Xu, Xiaowei Xu, Kai Yu, Volker Tresp