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» Performance evaluation of relevance feedback methods
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117
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MICCAI
2002
Springer
16 years 2 months ago
The Effect of Visual and Haptic Feedback on Manual and Teleoperated Needle Insertion
In this paper, we present a study that evaluates the effect of visual and haptic feedbacks and their relevance to human performance in a needle insertion task. A virtual needle ins...
Oleg Gerovichev, Panadda Marayong, Allison M. Okam...
103
Voted
ICMCS
2006
IEEE
104views Multimedia» more  ICMCS 2006»
15 years 8 months ago
Finding a Semantic Structure Interactively in Image Databases
We present a new approach to organize an image database by finding a semantic structure interactively based on multi-user relevance feedback. By treating user relevance feedbacks...
Manjeet Rege, Ming Dong, Farshad Fotouhi
160
Voted
SIGIR
2011
ACM
14 years 4 months ago
A boosting approach to improving pseudo-relevance feedback
Pseudo-relevance feedback has proven effective for improving the average retrieval performance. Unfortunately, many experiments have shown that although pseudo-relevance feedback...
Yuanhua Lv, ChengXiang Zhai, Wan Chen
115
Voted
CVPR
2008
IEEE
16 years 3 months ago
Manifold learning using robust Graph Laplacian for interactive image search
Interactive image search or relevance feedback is the process which helps a user refining his query and finding difficult target categories. This consists in partially labeling a ...
Hichem Sahbi, Patrick Etyngier, Jean-Yves Audibert...
145
Voted
MIR
2004
ACM
171views Multimedia» more  MIR 2004»
15 years 7 months ago
Mean version space: a new active learning method for content-based image retrieval
In content-based image retrieval, relevance feedback has been introduced to narrow the gap between low-level image feature and high-level semantic concept. Furthermore, to speed u...
Jingrui He, Hanghang Tong, Mingjing Li, HongJiang ...