poster

An evolutionary approach to feature function generation in application to biomedical image patterns

Authors:

Pei Fang Guo,

Prabir BhattacharyaAuthors Info & Claims

GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation

Pages 1883 - 1884

https://doi.org/10.1145/1569901.1570216

Published: 08 July 2009 Publication History

Get Access

Abstract

A mechanism involving evolutionary genetic programming (GP) and the expectation maximization algorithm (EM) is proposed to generate feature functions, based on the primitive features, for an image pattern recognition system on the diagnosis of the disease OPMD. Experiments show that the propose algorithm achieves an average performance of 90.20% recognition rate on diagnosis, while reducing the number of feature dimensions from 11 primitive features to the space of a single generated feature.

References

[1]

Rafael, R.C. Digital Image Processing. Addison-Wesley, Reading, MA, 2002.

Google Scholar

[2]

Mitchell, T. M. Machine Learning. McGraw-Hill, NY, 1997.

Digital Library

Google Scholar

[3]

Koza, J. R. Genetic Programming II: Automatic Discovery of Reusable Programs. Cambridge, MA: MIT Pr., 1994.

Digital Library

Google Scholar

[4]

James, M. Classification Algorithms. Collins Professional and Technical Books, London, 1985.

Digital Library

Google Scholar

Cited By

View all

Benedetti PPerri DSimonetti MGervasi OReali GFemminella M(2020)Skin Cancer Classification Using Inception Network and Transfer LearningComputational Science and Its Applications – ICCSA 202010.1007/978-3-030-58799-4_39(536-545)Online publication date: 1-Oct-2020
https://doi.org/10.1007/978-3-030-58799-4_39
Guo PBhattacharya P(2014)An evolutionary framework for detecting protein conformation defectsInformation Sciences: an International Journal10.1016/j.ins.2013.12.013276:C(332-342)Online publication date: 20-Aug-2014
https://dl.acm.org/doi/10.1016/j.ins.2013.12.013
Theodoridis THuosheng Hu (2013)Modeling Aggressive Behaviors With Evolutionary TaxonomersIEEE Transactions on Human-Machine Systems10.1109/TSMC.2013.225233743:3(302-313)Online publication date: May-2013
https://doi.org/10.1109/TSMC.2013.2252337
Show More Cited By

Index Terms

An evolutionary approach to feature function generation in application to biomedical image patterns
1. Computing methodologies
2. Theory of computation
  1. Design and analysis of algorithms
    1. Algorithm design techniques
      1. Dynamic programming

Recommendations

An efficient image pattern recognition system using an evolutionary search strategy
SMC'09: Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics

A mechanism involving evolutionary genetic programming (GP) and the expectation maximization algorithm (EM) is proposed to generate feature functions automatically, based on the primitive features, for an image pattern recognition system on the ...
On supporting identification in a hand-based biometric framework
ICISP'10: Proceedings of the 4th international conference on Image and signal processing

Research on hand features has drawn considerable attention to the biometric-based identification field in past decades. In this paper, the technique of the feature generation is carried out by integrating genetic programming and the expectation ...
Classifier design with feature selection and feature extraction using layered genetic programming

This paper proposes a novel method called FLGP to construct a classifier device of capability in feature selection and feature extraction. FLGP is developed with layered genetic programming that is a kind of the multiple-population genetic programming. ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation

July 2009

2036 pages

ISBN:9781605583259

DOI:10.1145/1569901

General Chair:
Franz Rothlauf
University of Mainz, Germany

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 July 2009

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Poster

Conference

GECCO09

Sponsor:

GECCO09: Genetic and Evolutionary Computation Conference

July 8 - 12, 2009

Québec, Montreal, Canada

Acceptance Rates

Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

5
Total Citations
View Citations
120
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 14 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Benedetti PPerri DSimonetti MGervasi OReali GFemminella M(2020)Skin Cancer Classification Using Inception Network and Transfer LearningComputational Science and Its Applications – ICCSA 202010.1007/978-3-030-58799-4_39(536-545)Online publication date: 1-Oct-2020
https://doi.org/10.1007/978-3-030-58799-4_39
Guo PBhattacharya P(2014)An evolutionary framework for detecting protein conformation defectsInformation Sciences: an International Journal10.1016/j.ins.2013.12.013276:C(332-342)Online publication date: 20-Aug-2014
https://dl.acm.org/doi/10.1016/j.ins.2013.12.013
Theodoridis THuosheng Hu (2013)Modeling Aggressive Behaviors With Evolutionary TaxonomersIEEE Transactions on Human-Machine Systems10.1109/TSMC.2013.225233743:3(302-313)Online publication date: May-2013
https://doi.org/10.1109/TSMC.2013.2252337
Guo PBhattacharya P(2013)Detection of protein conformation defects from fluorescence microscopy imagesEngineering Applications of Artificial Intelligence10.1016/j.engappai.2013.05.00726:8(1936-1941)Online publication date: 1-Sep-2013
https://dl.acm.org/doi/10.1016/j.engappai.2013.05.007
Kowaliw TBanzhaf WMoore J(2012)The unconstrained automated generation of cell image features for medical diagnosisProceedings of the 14th annual conference on Genetic and evolutionary computation10.1145/2330163.2330316(1103-1110)Online publication date: 7-Jul-2012
https://dl.acm.org/doi/10.1145/2330163.2330316

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

An efficient image pattern recognition system using an evolutionary search strategy

On supporting identification in a hand-based biometric framework

Classifier design with feature selection and feature extraction using layered genetic programming