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SAC
2008
ACM
15 years 6 months ago
Bayesian inference for a discretely observed stochastic kinetic model
The ability to infer parameters of gene regulatory networks is emerging as a key problem in systems biology. The biochemical data are intrinsically stochastic and tend to be observ...
Richard J. Boys, Darren J. Wilkinson, Thomas B. L....
ICNP
2009
IEEE
15 years 4 months ago
Achieving Efficiency and Fairness for Association Control in Vehicular Networks
Deploying city-wide 802.11 access points has made possible internet access in a vehicle, nevertheless it is challenging to maintain client performance at vehicular speed especially...
Lei Xie, Qun Li, Weizhen Mao, Jie Wu, Daoxu Chen
SIAMNUM
2010
106views more  SIAMNUM 2010»
15 years 1 months ago
Computing Sacker-Sell spectra in Discrete Time Dynamical Systems
In this paper we develop boundary value methods for detecting Sacker-Sell spectra in discrete time dynamical systems. The algorithms are advancements of earlier methods for comput...
Thorsten Hüls
CVPR
2009
IEEE
17 years 1 months ago
Stochastic Gradient Kernel Density Mode-Seeking
As a well known fixed-point iteration algorithm for kernel density mode-seeking, Mean-Shift has attracted wide attention in pattern recognition field. To date, Mean-Shift algorit...
Xiaotong Yuan, Stan Z. Li
ICIP
2005
IEEE
16 years 8 months ago
Segmentation and appearance model building from an image sequence
In this paper we explore the problem of accurately segmenting a person from a video given only approximate location of that person. Unlike previous work which assumes that the app...
Liang Zhao, Larry S. Davis