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» Using RankBoost to compare retrieval systems
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CEE
2010
67views more  CEE 2010»
14 years 12 months ago
Series feature aggregation for content-based image retrieval
Feature aggregation is a critical technique in content-based image retrieval systems that employ multiple visual features to characterize image content. One problem in feature aggr...
Jun Zhang, Lei Ye
DCC
2010
IEEE
14 years 9 months ago
Optimization of Overlapped Tiling for Efficient 3D Image Retrieval
Remote visualization of an arbitrary 2-D planar "cut" from a large volumetric dataset with random access has both gained importance and posed significant challenges over...
Zihong Fan, Antonio Ortega
IADIS
2008
15 years 1 months ago
Mining Postal Addresses
This paper presents FuMaS (Fuzzy Matching System), a system capable of an efficient retrieval of postal addresses from noisy queries. The fuzzy postal addresses retrieval has many...
José Carlos Cortizo, José Marí...
CLEF
2004
Springer
15 years 5 months ago
MSU at ImageCLEF: Cross Language and Interactive Image Retrieval
Abstract. In this report, we describe our studies with cross language and interactive image retrieval in ImageCLEF 2004. Typical cross language retrieval requires special linguisti...
Vineet Bansal, Chen Zhang, Joyce Y. Chai, Rong Jin
ICIP
2002
IEEE
16 years 1 months ago
Region-based retrieval: coarse segmentation with fine color signature
The two major problems raised by a region-based image retrieval system are the automatic definition and description of regions. In this paper we first present a technique of unsup...
Julien Fauqueur, Nozha Boujemaa