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IOR
2011
152views more  IOR 2011»
15 years 1 months ago
Risk-Averse Two-Stage Stochastic Linear Programming: Modeling and Decomposition
We formulate a risk-averse two-stage stochastic linear programming problem in which unresolved uncertainty remains after the second stage. The objective function is formulated as ...
Naomi Miller, Andrzej Ruszczynski
144
Voted
CEC
2007
IEEE
16 years 1 months ago
Emergent specialization in the extended multi-rover problem
Abstract— This paper introduces the Collective Neuro Evolution (CONE) method, and compares its efficacy for designing specialization, with a conventional Neuro-Evolution (NE) me...
Geoff S. Nitschke, Martijn C. Schut, A. E. Eiben
ACCV
2006
Springer
16 years 21 days ago
Face Recognition Under Varying Illumination Based on MAP Estimation Incorporating Correlation Between Surface Points
In this paper, we propose a new method for face recognition under varying illumination conditions using a single input image. Our method is based on a statistical shape-from-shadin...
Mihoko Shimano, Kenji Nagao, Takahiro Okabe, Imari...
ICCV
2003
IEEE
16 years 8 months ago
A Novel Approach For Texture Shape Recovery
In vision and graphics, there is a sustained interest in capturing accurate 3D shape with various scanning devices. However, the resulting geometric representation is only part of...
Jing Wang 0008, Kristin J. Dana
ICCV
2001
IEEE
16 years 8 months ago
What Value Covariance Information in Estimating Vision Parameters?
Many parameter estimation methods used in computer vision are able to utilise covariance information describing the uncertainty of data measurements. This paper considers the valu...
Michael J. Brooks, Wojciech Chojnacki, Darren Gawl...