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SARA
2009
Springer
14 years 1 months ago
Some Interval Approximation Techniques for MINLP
MINLP problems are hard constrained optimization problems, with nonlinear constraints and mixed discrete continuous variables. They can be solved using a Branch-and-Bound scheme c...
Nicolas Berger, Laurent Granvilliers
ISIPTA
2005
IEEE
146views Mathematics» more  ISIPTA 2005»
14 years 1 months ago
Arithmetic on Random Variables: Squeezing the Envelopes with New Joint Distribution Constraints
Uncertainty is a key issue in decision analysis and other kinds of applications. Researchers have developed a number of approaches to address computations on uncertain quantities....
Jianzhong Zhang 0004, Daniel Berleant
WSC
2008
13 years 9 months ago
Efficient simulation for tail probabilities of Gaussian random fields
We are interested in computing tail probabilities for the maxima of Gaussian random fields. In this paper, we discuss two special cases: random fields defined over a finite number...
Robert J. Adler, Jose Blanchet, Jingchen Liu
ICRA
2010
IEEE
130views Robotics» more  ICRA 2010»
13 years 6 months ago
On the complexity of optimal reconfiguration planning for modular reconfigurable robots
— This paper presents a thorough analysis of the computational complexity of optimal reconfiguration planning problem for chain-type modular robots, i.e. finding the least number...
Feili Hou, Wei-Min Shen
CVPR
2008
IEEE
14 years 9 months ago
Margin-based discriminant dimensionality reduction for visual recognition
Nearest neighbour classifiers and related kernel methods often perform poorly in high dimensional problems because it is infeasible to include enough training samples to cover the...
Hakan Cevikalp, Bill Triggs, Frédéri...