13 search results - page 3 / 3 » Stopping rules for box-constrained stochastic global optimiz... |
AE
2005
Springer
13 years 11 months ago
2005
Springer
Randomization is an efficient tool for global optimization. We here define a method which keeps : – the order 0 of evolutionary algorithms (no gradient) ; – the stochastic as...
IJCV
2000
13 years 5 months ago
2000
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
WSC
2007
13 years 7 months ago
2007
Statistical selection procedures can identify the best of a finite set of alternatives, where “best” is defined in terms of the unknown expected value of each alternative’...