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CIKM
2010
Springer
13 years 8 months ago
Fast query expansion using approximations of relevance models
Pseudo-relevance feedback (PRF) improves search quality by expanding the query using terms from high-ranking documents from an initial retrieval. Although PRF can often result in ...
Marc-Allen Cartright, James Allan, Victor Lavrenko...
ICMCS
2005
IEEE
175views Multimedia» more  ICMCS 2005»
14 years 3 months ago
XML path based relevance model for automatic image annotation
This is the first paper that proposes automatic image annotation using the semantics of XML. In this paper, we propose XPRM - XML Path based Relevance Model for automatic image a...
Manjeet Rege, Ming Dong, Farshad Fotouhi
CVPR
2004
IEEE
14 years 12 months ago
Multiple Bernoulli Relevance Models for Image and Video Annotation
Retrieving images in response to textual queries requires some knowledge of the semantics of the picture. Here, we show how we can do both automatic image annotation and retrieval...
Shaolei Feng, Raghavan Manmatha, Victor Lavrenko
MMM
2005
Springer
128views Multimedia» more  MMM 2005»
14 years 3 months ago
Feature Combination and Relevance Feedback for 3D Model Retrieval
Retrieval of 3D models have attracted much research interest, and many types of shape features have been proposed. In this paper, we describe a novel approach of combining the fea...
Indriyati Atmosukarto, Wee Kheng Leow, Zhiyong Hua...
SIGIR
2003
ACM
14 years 3 months ago
Automatic image annotation and retrieval using cross-media relevance models
Libraries have traditionally used manual image annotation for indexing and then later retrieving their image collections. However, manual image annotation is an expensive and labo...
Jiwoon Jeon, Victor Lavrenko, R. Manmatha