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» Comparing two blind relevance feedback techniques
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113
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ICIAR
2007
Springer
15 years 9 months ago
Image Retrieval Using Transaction-Based and SVM-Based Learning in Relevance Feedback Sessions
This paper introduces a composite relevance feedback approach for image retrieval using transaction-based and SVM-based learning. A transaction repository is dynamically constructe...
Xiaojun Qi, Ran Chang
184
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VLC
2008
178views more  VLC 2008»
15 years 3 months ago
An exploration of diversified user strategies for image retrieval with relevance feedback
Given the difficulty of setting up large-scale experiments with real users, the comparison of content-based image retrieval methods using relevance feedback usually relies on the ...
Michel Crucianu, Jean-Philippe Tarel, Marin Fereca...
SIGIR
2006
ACM
15 years 9 months ago
Improving the estimation of relevance models using large external corpora
Information retrieval algorithms leverage various collection statistics to improve performance. Because these statistics are often computed on a relatively small evaluation corpus...
Fernando Diaz, Donald Metzler
IADIS
2004
15 years 4 months ago
Relevance feedback using semantic association between indexing terms in large free text corpuses
Relevance feedback has been considered as a means of incorporating learning into information retrieval systems for quite sometime now. This paper discusses the research results of...
Shahzad Khan, Kenan Azam
136
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TIT
1998
121views more  TIT 1998»
15 years 2 months ago
Blind Multiuser Detection: A Subspace Approach
—A new multiuser detection scheme based on signal subspace estimation is proposed. It is shown that under this scheme, both the decorrelating detector and the linear minimummean-...
Xiaodong Wang, H. Vincent Poor