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» Performance evaluation of relevance feedback methods
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MICCAI
2002
Springer
14 years 9 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...
ICMCS
2006
IEEE
104views Multimedia» more  ICMCS 2006»
14 years 2 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
SIGIR
2011
ACM
12 years 11 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
CVPR
2008
IEEE
14 years 10 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...
MIR
2004
ACM
171views Multimedia» more  MIR 2004»
14 years 2 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 ...