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MP
2002
110views more  MP 2002»
14 years 9 months ago
Robust optimization - methodology and applications
Abstract. Robust Optimization (RO) is a modeling methodology, combined with computational tools, to process optimization problems in which the data are uncertain and is only known ...
Aharon Ben-Tal, Arkadi Nemirovski
SAC
2002
ACM
14 years 9 months ago
Location adjustment for the minimum volume ellipsoid estimator
Estimating multivariate location and scatter with both affine equivariance and positive breakdown has always been difficult. A well-known estimator which satisfies both properties...
Christophe Croux, Gentiane Haesbroeck, Peter J. Ro...
TMI
1998
91views more  TMI 1998»
14 years 9 months ago
A Vision-Based Technique for Objective Assessment of Burn Scars
—In this paper a method for the objective assessment of burn scars is proposed. The quantitative measures developed in this research provide an objective way to calculate elastic...
Leonid V. Tsap, Dmitry B. Goldgof, Sudeep Sarkar, ...
TSMC
1998
74views more  TSMC 1998»
14 years 9 months ago
An invariant performance measure for surface reconstruction using the volume between two surfaces
—In this paper, we propose the volume between two surfaces normalized by the surface area (interpreted as average distance between two surfaces) as an invariant quantitative meas...
June-Ho Yi, David M. Chelberg
ML
2007
ACM
106views Machine Learning» more  ML 2007»
14 years 9 months ago
Surrogate maximization/minimization algorithms and extensions
Abstract Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. A...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung