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» Regression Relevance Models for Data Fusion
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DEXAW
2007
IEEE
116views Database» more  DEXAW 2007»
13 years 10 months ago
Regression Relevance Models for Data Fusion
Data fusion has been investigated by many researchers in the information retrieval community and has become an effective technique for improving retrieval effectiveness. In this p...
Shengli Wu, Yaxin Bi, Sally I. McClean
LREC
2010
238views Education» more  LREC 2010»
13 years 5 months ago
Context Fusion: The Role of Discourse Structure and Centering Theory
Questions are not asked in isolation. Their context, viz. the preceding interactions, might be of help to understand them and retrieve the correct answer. Previous research in Int...
Raffaella Bernardi, Manuel Kirschner, Zorana Ratko...
SIGIR
2008
ACM
13 years 3 months ago
A bayesian logistic regression model for active relevance feedback
Relevance feedback, which traditionally uses the terms in the relevant documents to enrich the user's initial query, is an effective method for improving retrieval performanc...
Zuobing Xu, Ram Akella
CVPR
2004
IEEE
14 years 5 months ago
3D Human Pose from Silhouettes by Relevance Vector Regression
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pr...
Ankur Agarwal, Bill Triggs
ICTAI
2002
IEEE
13 years 8 months ago
Study for Fusion of Different Sources to Determine Relevance
The relevance of a web document could be measured not only by its text content, but also by some other factors such as the link connectivity, the usage pattern. In previous data f...
Chi-Hung Chi, Chen Ding, Kwok-Yan Lam