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== Reference ==
Krzysztof Krawiec and Bir Bhanu: Visual Learning by Evolutionary Feature Synthesis. Proceedings of the Twentieth International Conference on Machine Learning (ICML 2003), pp. 376-383, AAAI Press, August 21-24 2003.

== DOI ==

== Abstract ==
In this paper, we present a novel method for
learning complex concepts/hypotheses directly
from raw training data. The task addressed here
concerns data-driven synthesis of recognition
procedures for real-world object recognition
task. The method uses linear genetic
programming to encode potential solutions
expressed in terms of elementary operations, and
handles the complexity of the learning task by
applying cooperative coevolution to decompose
the problem automatically. The training consists
in coevolving feature extraction procedures, each
being a sequence of elementary image
processing and feature extraction operations.
Extensive experimental results show that the
approach attains competitive performance for
3-D object recognition in real synthetic aperture
radar (SAR) imagery.

== Extended Abstract ==

== Bibtex ==

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== Links ==
=== Full Text ===
http://www.aaai.org/Papers/ICML/2003/ICML03-051.pdf

[[intern file]]

=== Sonstige Links ===

Visual Learning by Evolutionary Feature Synthesis - Versionsgeschichte

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