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» Probability Models for High Dynamic Range Imaging
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CDC
2008
IEEE
140views Control Systems» more  CDC 2008»
15 years 4 months ago
Model discrimination of polynomial systems via stochastic inputs
— Systems biologists are often faced with competing models for a given experimental system. Unfortunately, performing experiments can be time-consuming and expensive. Therefore, ...
Daniel Georgiev, Eric Klavins
PG
2007
IEEE
15 years 4 months ago
Freeform Image
In this paper we present a technique for image deformation in which the user is given flexible control over what kind of deformation to perform. Freeform image extends available ...
Thomas Schiwietz, Joachim Georgii, Rüdiger We...
CVPR
2008
IEEE
14 years 11 months ago
Motion blur identification from image gradients
Restoration of a degraded image from motion blurring is highly dependent on the estimation of the blurring kernel. Most of the existing motion deblurring techniques model the blur...
Hui Ji, Chaoqiang Liu
PPOPP
1999
ACM
15 years 2 months ago
Automatic Node Selection for High Performance Applications on Networks
A central problem in executing performance critical parallel and distributed applications on shared networks is the selection of computation nodes and communication paths for exec...
Jaspal Subhlok, Peter Lieu, Bruce Lowekamp
KR
2004
Springer
15 years 3 months ago
Learning Probabilistic Relational Planning Rules
To learn to behave in highly complex domains, agents must represent and learn compact models of the world dynamics. In this paper, we present an algorithm for learning probabilist...
Hanna Pasula, Luke S. Zettlemoyer, Leslie Pack Kae...