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» Linear analysis of random process variability
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ICCV
2009
IEEE
13 years 5 months ago
Bayesian Poisson regression for crowd counting
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this wo...
Antoni B. Chan, Nuno Vasconcelos
MICCAI
2002
Springer
14 years 8 months ago
Stochastic Finite Element Framework for Cardiac Kinematics Function and Material Property Analysis
Abstract. A stochastic finite element method (SFEM) based framework is proposed for the simultaneous estimation of cardiac kinematics functions and material model parameters. While...
Pengcheng Shi, Huafeng Liu
DATE
2005
IEEE
132views Hardware» more  DATE 2005»
14 years 1 months ago
Statistical Timing Analysis using Levelized Covariance Propagation
Variability in process parameters is making accurate timing analysis of nano-scale integrated circuits an extremely challenging task. In this paper, we propose a new algorithm for...
Kunhyuk Kang, Bipul Chandra Paul, Kaushik Roy
SMA
2008
ACM
396views Solid Modeling» more  SMA 2008»
13 years 7 months ago
Fast mesh segmentation using random walks
3D mesh models are now widely available for use in various applications. The demand for automatic model analysis and understanding is ever increasing. Mesh segmentation is an impo...
Yu-Kun Lai, Shi-Min Hu, Ralph R. Martin, Paul L. R...
PAMI
2008
156views more  PAMI 2008»
13 years 7 months ago
Tied Factor Analysis for Face Recognition across Large Pose Differences
Face recognition algorithms perform very unreliably when the pose of the probe face is different from the gallery face: typical feature vectors vary more with pose than with identi...
Simon J. D. Prince, James H. Elder, Jonathan Warre...