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» Set-based model: a new approach for information retrieval
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CONTEXT
2007
Springer
14 years 3 months ago
An Ostensive Browsing and Searching on the Web
Abstract. The ostensive model assumes that a user’s information need is dynamic and developing, thus, a recently accessed object can be seen as more indicative to the current inf...
Hideo Joho, Robert D. Birbeck, Joemon M. Jose
CLEF
2004
Springer
14 years 2 months ago
Report on Thomson Legal and Regulatory Experiments at CLEF-2004
Thomson Legal and Regulatory participated in the CLEF-2004 monolingual and bilingual tracks. Monolingual experiments included Portuguese, Russian and Finnish. We investigated a ne...
Isabelle Moulinier, Ken Williams
ICPR
2008
IEEE
14 years 10 months ago
Learning weighted distances for relevance feedback in image retrieval
We present a new method for relevance feedback in image retrieval and a scheme to learn weighted distances which can be used in combination with different relevance feedback metho...
Enrique Vidal, Hermann Ney, Roberto Paredes, Thoma...
VISUAL
2000
Springer
14 years 20 days ago
Statistical Motion-Based Retrieval with Partial Query
We present an original approach for motion-based retrieval involving partial query. More precisely, we propose an uni ed statistical framework both to extract entities of interest ...
Ronan Fablet, Patrick Bouthemy
SIGIR
2008
ACM
13 years 9 months ago
Learning to reduce the semantic gap in web image retrieval and annotation
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...
Changhu Wang, Lei Zhang 0001, Hong-Jiang Zhang