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ICCV
2009
IEEE
14 years 7 months ago
Efficient human pose estimation via parsing a tree structure based human model
Human pose estimation is the task of determining the states (location, orientation and scale) of each body part. It is important for many vision understanding applications, e.g. v...
Xiaoqin Zhang, Changcheng Li, Xiaofeng Tong, Weimi...
TCAD
2010
164views more  TCAD 2010»
14 years 4 months ago
Advanced Variance Reduction and Sampling Techniques for Efficient Statistical Timing Analysis
The Monte-Carlo (MC) technique is a traditional solution for a reliable statistical analysis, and in contrast to probabilistic methods, it can account for any complicate model. How...
Javid Jaffari, Mohab Anis
IEAAIE
1998
Springer
15 years 1 months ago
State Estimation for Nonlinear Systems Using Restricted Genetic Optimization
Abstract. In this paper we describe a new nonlinear estimator for filtering systems with nonlinear process and observation models, based on the optimization with RGO (Restricted Ge...
Santiago Garrido, Luis Moreno, Carlos Balaguer
96
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BMCBI
2010
175views more  BMCBI 2010»
14 years 9 months ago
Global parameter estimation methods for stochastic biochemical systems
Background: The importance of stochasticity in cellular processes having low number of molecules has resulted in the development of stochastic models such as chemical master equat...
Suresh Kumar Poovathingal, Rudiyanto Gunawan
CVIU
2006
176views more  CVIU 2006»
14 years 9 months ago
Temporal motion models for monocular and multiview 3D human body tracking
We explore an approach to 3D people tracking with learned motion models and deterministic optimization. The tracking problem is formulated as the minimization of a differentiable ...
Raquel Urtasun, David J. Fleet, Pascal Fua