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» Introduction to Modeling and Simulation
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230
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CVPR
2010
IEEE
14 years 26 days ago
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
Robust tracking of abrupt motion is a challenging task in computer vision due to the large motion uncertainty. In this paper, we propose a stochastic approximation Monte Carlo (...
Xiuzhuang Zhou and Yao Lu
150
Voted
EVOW
2012
Springer
13 years 11 months ago
Applying (Hybrid) Metaheuristics to Fuel Consumption Optimization of Hybrid Electric Vehicles
This work deals with the application of metaheuristics to the fuel consumption minimization problem of hybrid electric vehicles (HEV) considering exactly specified driving cycles....
Thorsten Krenek, Mario Ruthmair, Günther R. R...
196
Voted
ICOIN
2012
Springer
13 years 11 months ago
Coordinated TCP Westwood congestion control for multiple paths over wireless networks
— Multipath TCP (MPTCP) has just been approved by the IETF. It was designed to be fairly shared with regular TCP, so its performance is equivalent that of a regular TCP flow tha...
Tuan Anh Le, Choong Seon Hong, Eui-nam Huh
134
Voted
CVPR
2004
IEEE
16 years 5 months ago
Automatic Method for Correlating Horizons across Faults in 3D Seismic Data
Horizons are visible boundaries between certain sediment layers in seismic data, and a fault is a crack of horizons and it is recognized in seismic data by the discontinuities of ...
Fitsum Admasu, Klaus D. Tönnies
163
Voted
CVPR
2008
IEEE
16 years 5 months ago
Object tracking and detection after occlusion via numerical hybrid local and global mode-seeking
Given an object model and a black-box measure of similarity between the model and candidate targets, we consider visual object tracking as a numerical optimization problem. During...
Zhaozheng Yin, Robert T. Collins
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