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» Comparing two blind relevance feedback techniques
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MM
2004
ACM
129views Multimedia» more  MM 2004»
14 years 3 months ago
A novel log-based relevance feedback technique in content-based image retrieval
Relevance feedback has been proposed as an important technique to boost the retrieval performance in content-based image retrieval (CBIR). However, since there exists a semantic g...
Chu-Hong Hoi, Michael R. Lyu
ICMCS
2000
IEEE
142views Multimedia» more  ICMCS 2000»
14 years 2 months ago
Incorporate Discriminant Analysis with EM Algorithm in Image Retrieval
One of the difficulties of Content-Based Image Retrieval (CBIR) is the gap between high-level concepts and low-level image features, e.g., color and texture. Relevance feedback wa...
Qi Tian, Ying Wu, Thomas S. Huang
SIGIR
2002
ACM
13 years 9 months ago
Finding relevant documents using top ranking sentences: an evaluation of two alternative schemes
In this paper we present an evaluation of techniques that are designed to encourage web searchers to interact more with the results of a web search. Two specific techniques are ex...
Ryen White, Ian Ruthven, Joemon M. Jose
IPM
2002
68views more  IPM 2002»
13 years 9 months ago
A test of genetic algorithms in relevance feedback
10 There have been recent applications of genetic algorithms to information retrieval, mostly with respect to 11 relevance feedback. Nevertheless, they are yet to be evaluated in ...
Cristina López-Pujalte, Vicente P. Guerrero...
CIKM
2009
Springer
14 years 2 months 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