Automated synthesis of feature functions for pattern detection
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @InProceedings{Guo:2010:CCECE,
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author = "Pei-Fang Guo and Prabir Bhattacharya and
Nawwaf Kharma",
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title = "Automated synthesis of feature functions for pattern
detection",
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booktitle = "23rd Canadian Conference on Electrical and Computer
Engineering (CCECE), 2010",
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year = "2010",
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month = "2-5 " # may,
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abstract = "In pattern detection systems, the general techniques
of feature extraction and selection perform linear
transformations from primitive feature vectors to new
vectors of lower dimensionality. At times, new
extracted features might be linear combinations of some
primitive features that are not able to provide better
classification accuracy. To solve this problem, we
propose the integration of genetic programming and the
expectation maximisation algorithm (GP-EM) to
automatically synthesise feature functions based on
primitive input features for breast cancer detection.
With the Gaussian mixture model, the proposed algorithm
is able to perform nonlinear transformations of
primitive feature vectors and data modelling
simultaneously. Compared to the performance of other
algorithms, such us the support vector machine,
multi-layer perceptrons, inductive machine learning and
logistic regression, which all used the entire
primitive feature set, the proposed algorithm achieves
a higher recognition rate by using one single
synthesised feature function.",
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keywords = "genetic algorithms, genetic programming, Gaussian
mixture model, automated synthesis, breast cancer
detection, data modelling, expectation maximization
algorithm, feature extraction, feature functions,
inductive machine learning, logistic regression,
multilayer perceptrons, pattern detection systems,
primitive feature vector nonlinear transformations,
support vector machine, cancer, data models,
expectation-maximisation algorithm, feature extraction,
medical computing, object detection, pattern
classification, vectors",
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DOI = "doi:10.1109/CCECE.2010.5575224",
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ISSN = "0840-7789",
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notes = "Pei-Fang Guo PhD A Gaussian Mixture-Based Approach to
Synthesizing Nonlinear Feature Functions for Automated
Object Detection
Concordia University 2010
http://users.encs.concordia.ca/~kharma/ResearchWeb/html/people/graduate%20students.html#pf_guo
\cite{PeiFang_Guo:thesis}
Also known as \cite{5575224}",
- }
Genetic Programming entries for
Pei Fang Guo
Prabir Bhattacharya
Nawwaf Kharma
Citations