The Principal Component Analysis Method Based Descriptor for Visual Object Classification

Abstract

In the field of machine learning, which values / data labeling or recognition is done by pattern recognition. Visual object classification is an example of pattern recognition, which attempts prompt to assign each object to one of a given set of object classes.

Authors and Affiliations

Zühal Kurt| Mathematics - Computer Sciences Department, Eskişehir Osmangazi University, Eskişehir/Turkey, Kemal Özkan| Computer Engineering Department, Eskişehir Osmangazi University, Eskişehir/Turkey, Şahin Işık| Computer Engineering Department, Eskişehir Osmangazi University, Eskişehir/Turkey

Keywords

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The Principal Component Analysis Method Based Descriptor for Visual Object Classification

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  • EP ID EP779
  • DOI 10.18201/ijisae.08060
  • Views 402
  • Downloads 21

How To Cite

Zühal Kurt, Kemal Özkan, Şahin Işık (2015). The Principal Component Analysis Method Based Descriptor for Visual Object Classification. International Journal of Intelligent Systems and Applications in Engineering, 3(3), 97-100. https://europub.co.uk/articles/-A-779