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» A study of methods for negative relevance feedback
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ECCV
2004
Springer
14 years 9 months ago
Stretching Bayesian Learning in the Relevance Feedback of Image Retrieval
This paper is about the work on user relevance feedback in image retrieval. We take this problem as a standard two-class pattern classification problem aiming at refining the retri...
Ruofei Zhang, Zhongfei (Mark) Zhang
CIKM
2009
Springer
14 years 17 days ago
A comparative study of methods for estimating query language models with pseudo feedback
We systematically compare five representative state-of-theart methods for estimating query language models with pseudo feedback in ad hoc information retrieval, including two var...
Yuanhua Lv, ChengXiang Zhai
ESWA
2008
127views more  ESWA 2008»
13 years 8 months ago
A two-level relevance feedback mechanism for image retrieval
Content-based image retrieval (CBIR) is a group of techniques that analyzes the visual features (such as color, shape, texture) of an example image or image subregion to find simi...
Pei-Cheng Cheng, Been-Chian Chien, Hao-Ren Ke, Wei...
TREC
1997
13 years 9 months ago
Rutgers' TREC-6 Interactive Track Experience
The goal of the Rutgers TREC-6 Interactive Track study was to compare the performance and usability of a system offering positive relevance feedback with one offering positive and...
Nicholas J. Belkin, Jose Perez Carballo, Colleen C...
SPIRE
2004
Springer
14 years 1 months ago
Evaluating Relevance Feedback and Display Strategies for Searching on Small Displays
Abstract Searching information resources using mobile devices is affected by displays on which only a small fraction of the set of ranked documents can be displayed. In this study ...
Vishwa Vinay, Ingemar J. Cox, Natasa Milic-Fraylin...