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» Optimizing efficiency of perturbative Monte Carlo method
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CVIU
2006
158views more  CVIU 2006»
14 years 9 months ago
Sequential mean field variational analysis of structured deformable shapes
A novel approach is proposed to analyzing and tracking the motion of structured deformable shapes, which consist of multiple correlated deformable subparts. Since this problem is ...
Gang Hua, Ying Wu
NIPS
2008
14 years 11 months ago
Multiscale Random Fields with Application to Contour Grouping
We introduce a new interpretation of multiscale random fields (MSRFs) that admits efficient optimization in the framework of regular (single level) random fields (RFs). It is base...
Longin Jan Latecki, ChengEn Lu, Marc Sobel, Xiang ...
CDC
2008
IEEE
167views Control Systems» more  CDC 2008»
15 years 4 months ago
On the approximate domain optimization of deterministic and expected value criteria
— We define the concept of approximate domain optimizer for deterministic and expected value optimization criteria. Roughly speaking, a candidate optimizer is an approximate dom...
Andrea Lecchini-Visintini, John Lygeros, Jan M. Ma...
ISQED
2009
IEEE
112views Hardware» more  ISQED 2009»
15 years 4 months ago
Estimation and optimization of reliability of noisy digital circuits
— With continued scaling, reliability is emerging as a critical challenge for the designers of digital circuits. The challenge stems in part from the lack of computationally ef...
Satish Sivaswamy, Kia Bazargan, Marc D. Riedel
SIGGRAPH
2010
ACM
15 years 2 months ago
Optimizing walking controllers for uncertain inputs and environments
We introduce methods for optimizing physics-based walking controllers for robustness to uncertainty. Many unknown factors, such as external forces, control torques, and user contr...
Jack M. Wang, David J. Fleet, Aaron Hertzmann