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» Bayesian Parameter Estimation: A Monte Carlo Approach
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ICCV
2005
IEEE
14 years 1 months ago
Bayesian Body Localization Using Mixture of Nonlinear Shape Models
We present a 2D model-based approach to localizing human body in images viewed from arbitrary and unknown angles. The central component is a statistical shape representation of th...
Jiayong Zhang, Robert T. Collins, Yanxi Liu
PAMI
2006
183views more  PAMI 2006»
13 years 7 months ago
A Model-Based Approach for Estimating Human 3D Poses in Static Images
Estimating human body poses in static images is important for many image understanding applications including semantic content extraction and image database query and retrieval. Th...
Mun Wai Lee, Isaac Cohen
SIAMNUM
2010
96views more  SIAMNUM 2010»
13 years 2 months ago
A Stochastic Algorithm for Parametric Sensitivity in Smoluchowski's Coagulation Equation
Abstract. In this article a stochastic particle system approximation to the parametric sensitivity in the Smoluchowski coagulation equation is introduced. The parametric sensitivit...
Ismaël F. Bailleul, Peter L. W. Man, Markus K...
SLIP
2009
ACM
14 years 1 months ago
Closed-form solution for timing analysis of process variations on SWCNT interconnect
In this paper, a comprehensive and fast method is presented for the timing analysis of process variations on single-walled carbon nanotube (SWCNT) bundles. Unlike previous works t...
Peng Sun, Rong Luo
DATE
2010
IEEE
122views Hardware» more  DATE 2010»
13 years 7 months ago
Correlation controlled sampling for efficient variability analysis of analog circuits
The Monte Carlo (MC) simulation is a well-known solution to the statistical analysis of analog circuits in the presence of device mismatch. Despite MC's superior accuracy comp...
Javid Jaffari, Mohab Anis