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» Robust dynamical network reconstruction
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ICMLA
2007
13 years 10 months ago
Uncertainty optimization for robust dynamic optical flow estimation
We develop an optical flow estimation framework that focuses on motion estimation over time formulated in a Dynamic Bayesian Network. It realizes a spatiotemporal integration of ...
Volker Willert, Marc Toussaint, Julian Eggert, Edg...
ICDE
2009
IEEE
164views Database» more  ICDE 2009»
14 years 10 months ago
Efficient and Robust Database Support for Data-Intensive Applications in Dynamic Environments
Requirements from new types of applications call for new database system solutions. Computational science applications performing distributed computations on Grid networks with req...
Jon Olav Hauglid, Kjetil Nørvåg, Norv...
IPCO
2004
107views Optimization» more  IPCO 2004»
13 years 10 months ago
A Robust Optimization Approach to Supply Chain Management
Abstract. We propose a general methodology based on robust optimization to address the problem of optimally controlling a supply chain subject to stochastic demand in discrete time...
Dimitris Bertsimas, Aurélie Thiele
WSC
2007
13 years 11 months ago
Analyzing air combat simulation results with dynamic Bayesian networks
In this paper, air combat simulation data is reconstructed into a dynamic Bayesian network. It gives a compact probabilistic model that describes the progress of air combat and al...
Jirka Poropudas, Kai Virtanen
COMCOM
2011
13 years 3 months ago
Reconstructing social interactions using an unreliable wireless sensor network
In the very active field of complex networks, research advances have largely been stimulated by the availability of empirical data and the increase in computational power needed ...
Adrien Friggeri, Guillaume Chelius, Eric Fleury, A...