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» Relevance feedback for shape query refinement
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ICCV
2003
IEEE
13 years 11 months ago
Reinforcement Learning for Combining Relevance Feedback Techniques
Relevance feedback (RF) is an interactive process which refines the retrievals by utilizing user’s feedback history. Most researchers strive to develop new RF techniques and ign...
Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang, Anlei...
WWW
2001
ACM
14 years 7 months ago
Interactive Web Search by Graphical Query Refinement
We propose a new Web search system that helps users clarify their information needs through interaction. The system represents the user's information needs using a query grap...
Junji Tomita, Gen-ichiro Kikui
ICIP
2002
IEEE
14 years 7 months ago
A feature re-weighting approach for relevance feedback in image retrieval
Users of image databases often prefer to retrieve relevant images by categories. Unfortunately, images are usually indexed by low-level features like color, texture and shape, whi...
Yimin Wu, Aidong Zhang
CVPR
2008
IEEE
14 years 8 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...
TREC
2008
13 years 7 months ago
Overview of the TREC 2008 Legal Track
TREC 2008 was the third year of the Legal Track, which focuses on evaluation of search technology for discovery of electronically stored information in litigation and regulatory s...
Douglas W. Oard, Björn Hedin, Stephen Tomlins...