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IJCAI
1989
13 years 8 months ago
Training Feedforward Neural Networks Using Genetic Algorithms
Multilayered feedforward neural networks possess a number of properties which make them particularly suited to complex pattern classification problems. However, their application ...
David J. Montana, Lawrence Davis
CEC
2009
IEEE
14 years 2 months ago
What is situated evolution?
—In this paper we discuss the notion of situated evolution. Our treatment includes positioning situated evolution on the map of evolutionary processes in terms of time- and space...
Martijn C. Schut, Evert Haasdijk, A. E. Eiben
ECCV
2006
Springer
14 years 9 months ago
An Integral Solution to Surface Evolution PDEs Via Geo-cuts
We introduce a new approach to modelling gradient flows of contours and surfaces. While standard variational methods (e.g. level sets) compute local interface motion in a different...
Yuri Boykov, Vladimir Kolmogorov, Daniel Cremers, ...
ICCV
2009
IEEE
15 years 20 days ago
Large Displacement Optical Flow Computation without Warping
We propose an algorithm for large displacement opti- cal flow estimation which does not require the commonly used coarse-to-fine warping strategy. It is based on a quadratic rel...
Frank Steinbrucker, Thomas Pock, Daniel Cremers
PAM
2011
Springer
12 years 10 months ago
Evolution of Cache Replacement Policies to Track Heavy-Hitter Flows
Several important network applications cannot easily scale to higher data rates without requiring focusing just on the large traffic flows. Recent works have discussed algorithmic...
Martin Zádník, Marco Canini