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» A study of methods for negative relevance feedback
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93
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TREC
2008
14 years 11 months ago
DUTIR at TREC 2008 Blog Track
For opinion finding task our method of the combination of 5 Windows method and Pseudo Relevance Feedback behaves well, achieving an improvement of over 20% on the baseline adhoc r...
Jianmei Chen, Wei Guo, Fengming Pan, Fuyang Chang,...
ISCSCT
2008
IEEE
15 years 3 months ago
Partial Relevance Feedback for 3D Model Retrieval
—Relevance feedback(RF) has been proved to be an effective way to improve the precision and recall of 3D model retrieval. However, the existing RF approaches do not consider whic...
Baokun Hu, Yusheng Liu, Shuming Gao, Jing Hu
SIGIR
2010
ACM
15 years 1 months ago
Positional relevance model for pseudo-relevance feedback
Pseudo-relevance feedback is an effective technique for improving retrieval results. Traditional feedback algorithms use a whole feedback document as a unit to extract words for ...
Yuanhua Lv, ChengXiang Zhai
103
Voted
AMR
2007
Springer
171views Multimedia» more  AMR 2007»
15 years 3 months ago
Automatic Image Annotation with Relevance Feedback and Latent Semantic Analysis
The goal of this paper is to study the image-concept relationship as it pertains to image annotation. We demonstrate how automatic annotation of images can be implemented on partia...
Donn Morrison, Stéphane Marchand-Maillet, E...
93
Voted
ICCV
2007
IEEE
15 years 11 months ago
Graph-Cut Transducers for Relevance Feedback in Content Based Image Retrieval
Closing the semantic gap in content based image retrieval (CBIR) basically requires the knowledge of the user's intention which is usually translated into a sequence of quest...
Hichem Sahbi, Jean-Yves Audibert, Renaud Keriven