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» Robust optimization - methodology and applications
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ICIP
2003
IEEE
14 years 9 months ago
Robust line detection using a weighted MSE estimator
In this paper we introduce a novel line detection algorithm based on a weighted minimum mean square error (MSE) formulation. This algorithm has been developed to enable an autonom...
Guido M. Schuster, Aggelos K. Katsaggelos
TASE
2011
IEEE
13 years 2 months ago
WireWarping++: Robust and Flexible Surface Flattening With Length Control
— Surface flattening has numerous applications in sheet manufacturing industries, such as garment industry, shoe industry, toy industry, furniture industry and ship industry. Mo...
Yunbo Zhang, Charlie C. L. Wang
IUI
2004
ACM
14 years 1 months ago
Robust sketched symbol fragmentation using templates
Analysis of sketched digital ink is often aided by the division of stroke points into perceptually-salient fragments based on geometric features. Fragmentation has many applicatio...
Heloise Hwawen Hse, Michael Shilman, A. Richard Ne...
ECCV
2002
Springer
14 years 9 months ago
Robust Parameterized Component Analysis
Principal ComponentAnalysis (PCA) has been successfully applied to construct linear models of shape, graylevel, and motion. In particular, PCA has been widely used to model the var...
Fernando De la Torre, Michael J. Black
GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
14 years 2 months ago
Environmental robustness in multi-agent teams
Evolution has proven to be an effective method of training heterogeneous multi-agent teams of autonomous agents to explore unknown environments. Autonomous, heterogeneous agents ...
Terence Soule, Robert B. Heckendorn