Visual Learning by Evolutionary and Coevolutionary Feature Synthesis
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- @Article{Krawiec:2007:TEC,
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author = "Krzysztof Krawiec and Bir Bhanu",
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title = "Visual Learning by Evolutionary and Coevolutionary
Feature Synthesis",
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journal = "IEEE Transactions on Evolutionary Computation",
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year = "2007",
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volume = "11",
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number = "5",
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pages = "635--650",
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month = oct,
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email = "krawiec@cs.put.poznan.pl",
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keywords = "genetic algorithms, genetic programming, pattern
recognition, visual learning, cooperative coevolution",
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URL = "http://ieeexplore.ieee.org/iel5/4235/4336114/04336120.pdf?isnumber=4336114&prod=JNL&arnumber=4336120&arSt=635&ared=650&arAuthor=Krawiec%2C+K.%3B+Bhanu%2C+B.",
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DOI = "doi:10.1109/TEVC.2006.887351",
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size = "16 pages",
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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. 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 at
the genotype level. The training coevolves feature
extraction procedures, each being a sequence of
elementary image processing and computer vision
operations applied to input images. Extensive
experimental results show that the approach attains
competitive performance for {3D} object recognition in
real synthetic aperture radar (SAR) imagery.",
- }
Genetic Programming entries for
Krzysztof Krawiec
Bir Bhanu
Citations