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» Dependence Modeling for Stochastic Simulation
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232
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CVPR
2010
IEEE
14 years 28 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
145
Voted
ICIP
2007
IEEE
16 years 5 months ago
Color Image Superresolution Based on a Stochastic Combinational Classification-Regression Algorithm
Abstract - The proposed algorithm in this work provides superresolution for color images by using a learning based technique that utilizes both generative and discriminant approach...
Karl S. Ni, Truong Q. Nguyen
ENTCS
2010
119views more  ENTCS 2010»
15 years 3 months ago
Bio-PEPA for Epidemiological Models
Many models have been defined in order to describe the evolution of a disease in a population. The modelling of diseases is helpful to understand the mechanisms for their spread a...
Federica Ciocchetta, Jane Hillston
135
Voted
WSC
2008
15 years 6 months ago
A simplified modeling approach for human system interaction
Despite increasing dependency on technology, the importance of humans is expected to increase and to provide a realistic basis for decision support; both technical and organizatio...
Torbjorn P. E. Ilar
MA
2010
Springer
143views Communications» more  MA 2010»
15 years 2 months ago
From Archimedean to Liouville copulas
We use a recent characterization of the d-dimensional Archimedean copulas as the survival copulas of d-dimensional simplex distributions (McNeil and Neˇslehov´a (2009)) to const...
Alexander J. McNeil, Johanna Neslehová