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» Nonlinear Stochastic Optimization by the Monte-Carlo Method
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ECCV
2002
Springer
14 years 9 months ago
A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction
In this paper, we present a stochastic algorithm by effective Markov chain Monte Carlo (MCMC) for segmenting and reconstructing 3D scenes. The objective is to segment a range image...
Feng Han, Zhuowen Tu, Song Chun Zhu
TOG
2008
92views more  TOG 2008»
13 years 7 months ago
Optimizing cubature for efficient integration of subspace deformations
We propose an efficient scheme for evaluating nonlinear subspace forces (and Jacobians) associated with subspace deformations. The core problem we address is efficient integration...
Steven S. An, Theodore Kim, Doug L. James
WSC
2008
13 years 9 months ago
A simulation model to analyze the impact of hole size on putting in golf
We develop a model of golfer putting skill and combine it with physics-based putt trajectory and holeout models to study the impact of doubling the radius of the hole on the putti...
Matulya Bansal, Mark Broadie
4OR
2006
99views more  4OR 2006»
13 years 7 months ago
A decomposition-based solution method for stochastic mixed integer nonlinear programs
This is a summary of the main results presented in the author's PhD thesis, supervised by D. Conforti and P. Beraldi and defended on March 2005. The thesis, written in English...
Maria Elena Bruni
TFS
2010
152views Education» more  TFS 2010»
13 years 2 months ago
Robust Optimal Reference-Tracking Design Method for Stochastic Synthetic Biology Systems: T-S Fuzzy Approach
At present, the development in the nascent field of synthetic gene networks is still difficult. Most newly created gene networks are nonfunctioning due to intrinsic parameter fluct...
Bor-Sen Chen, Chih-Hung Wu