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103
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ICCV
2007
IEEE
16 years 1 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
78
Voted
LPNMR
2009
Springer
15 years 6 months ago
Relevance-Driven Evaluation of Modular Nonmonotonic Logic Programs
Modular nonmonotonic logic programs (MLPs) under the answer-set semantics have been recently introduced as an ASP formalism in which modules can receive context-dependent input fro...
Minh Dao-Tran, Thomas Eiter, Michael Fink, Thomas ...
108
Voted
ICCV
2003
IEEE
15 years 5 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...
105
Voted
DEBS
2008
ACM
15 years 1 months ago
Top-k/w publish/subscribe: finding k most relevant publications in sliding time window w
Existing content-based publish/subscribe systems are designed assuming that all matching publications are equally relevant to a subscription. As we cannot know in advance the dist...
Kresimir Pripuzic, Ivana Podnar Zarko, Karl Aberer