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» Data Reduction Using Multiple Models Integration
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ICCSA
2009
Springer
15 years 4 months ago
YAO: A Software for Variational Data Assimilation Using Numerical Models
Variational data assimilation consists in estimating control parameters of a numerical model in order to minimize the misfit between the forecast values and some actual observatio...
Luigi Nardi, Charles Sorror, Fouad Badran, Sylvie ...
ICMCS
2006
IEEE
234views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Decentralized Multiple Camera Multiple Object Tracking
In this paper, we present a novel decentralized Bayesian framework using multiple collaborative cameras for robust and efficient multiple object tracking with significant and pe...
Wei Qu, Dan Schonfeld, Magdi A. Mohamed
ECR
2007
92views more  ECR 2007»
14 years 9 months ago
An integrated model exploring sellers' strategies in eBay auctions
Abstract This paper presents the results of a field study conducted to elucidate critical factors that determine sellers’ net revenue in Internet auctions. Using two datasets of...
Jaeki Song, Jeff Baker
ISQED
2005
IEEE
78views Hardware» more  ISQED 2005»
15 years 3 months ago
Staggered Twisted-Bundle Interconnect for Crosstalk and Delay Reduction
Abstract— To achieve small delay and low crosstalk for multiple signal nets with capacitive and inductive coupling, we propose in this paper a novel interconnect structure, stagg...
Hao Yu, Lei He
BSN
2006
IEEE
150views Sensor Networks» more  BSN 2006»
15 years 1 months ago
Multi-sensor Data Fusion Using the Influence Model
System robustness against individual sensor failures is an important concern in multi-sensor networks. Unfortunately, the complexity of using the remaining sensors to interpolate ...
Wen Dong, Alex Pentland