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SAC
2008
ACM
15 years 3 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 1 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»
14 years 10 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
16 years 11 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 5 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