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» Adaptive Sampling for Noisy Problems
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CVPR
1999
IEEE
14 years 9 months ago
Independent Motion: The Importance of History
We consider a problem central in aerial visual surveillance applications { detection and tracking of small, independently moving objects in long and noisy video sequences. We dire...
Robert Pless, Tomás Brodský, Yiannis...
IAJIT
2010
102views more  IAJIT 2010»
13 years 6 months ago
Multilayer neural network-burg combination for acoustical detection of buried objects
: A Burg technique is employed to model the long wavelength localization and imaging problem. A Burg method is used as a high resolution and stable technique. The idea of in-line h...
Mujahid Al-Azzo, Lubna Badri
CDC
2010
IEEE
106views Control Systems» more  CDC 2010»
13 years 2 months ago
Observational learning in an uncertain world
We study a model of observational learning in social networks in the presence of uncertainty about agents' type distributions. Each individual receives a private noisy signal ...
Daron Acemoglu, Munther A. Dahleh, Asuman E. Ozdag...
PPSN
2000
Springer
13 years 11 months ago
Real-Coded Adaptive Range Genetic Algorithm Applied to Transonic Wing Optimization
Real-coded Adaptive Range Genetic Algorithms (ARGAs) have been applied to a practical three-dimensional shape optimization for aerodynamic design of an aircraft wing. The real-code...
Akira Oyama, Shigeru Obayashi, Takashi Nakamura
JMLR
2012
11 years 10 months ago
Adaptive MCMC with Bayesian Optimization
This paper proposes a new randomized strategy for adaptive MCMC using Bayesian optimization. This approach applies to nondifferentiable objective functions and trades off explor...
Nimalan Mahendran, Ziyu Wang, Firas Hamze, Nando d...