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ANOR
2007
165views more  ANOR 2007»
13 years 8 months ago
Financial scenario generation for stochastic multi-stage decision processes as facility location problems
The quality of multi-stage stochastic optimization models as they appear in asset liability management, energy planning, transportation, supply chain management, and other applicat...
Ronald Hochreiter, Georg Ch. Pflug
CVPR
2005
IEEE
14 years 10 months ago
Random Subspaces and Subsampling for 2-D Face Recognition
Random subspaces are a popular ensemble construction technique that improves the accuracy of weak classifiers. It has been shown, in different domains, that random subspaces combi...
Nitesh V. Chawla, Kevin W. Bowyer
ICASSP
2010
IEEE
13 years 8 months ago
A minimax approach to Bayesian estimation with partial knowledge of the observation model
We address the problem of Bayesian estimation where the statistical relation between the signal and measurements is only partially known. We propose modeling partial Baysian knowl...
Tomer Michaeli, Yonina C. Eldar
EMMCVPR
1999
Springer
14 years 5 days ago
Adaptive Bayesian Contour Estimation: A Vector Space Representation Approach
Abstract. We propose a vector representation approach to contour estimation from noisy data. Images are modeled as random elds composed of a set of homogeneous regions contours (bo...
José M. B. Dias
DEDS
2010
157views more  DEDS 2010»
13 years 5 months ago
On-line Optimal Control of a Class of Discrete Event Systems with Real-Time Constraints
We consider Discrete Event Systems (DES) involving tasks with real-time constraints and seek to control processing times so as to minimize a cost function subject to each task mee...
Jianfeng Mao, Christos G. Cassandras