Title of article
TWO-CLASS CLASSIFICATION WITH VARIOUS CHARACTERISTICS BASED ON KERNEL PRINCIPAL COMPONENT ANALYSIS AND SUPPORT VECTOR MACHINES
Author/Authors
Timotius, Ivanna Kristianti Satya Wacana Christian University - Department of Electronic Engineering, Indonesia , Setyawan, Iwan Satya Wacana Christian University - Department of Electronic Engineering, Indonesia , Febrianto, Andreas Ardian Satya Wacana Christian University - Department of Electronic Engineering, Indonesia
From page
96
To page
100
Abstract
Two class pattern classification problems appeared in many applications. In some applications, the characteristic of the members in a class is dissimilar. This paper proposed a classification system for this problem. The proposed system was developed based on the combination of kernel principal component analysis (KPCA) and support vector machines (SVMs). This system has been implemented in a two class face recognition problem. The average of the classification rate in this face image classification is 82.5%.
Keywords
characteristic , classification , face recognition , kernel principal component analysis , support vector machines
Journal title
Makara Journal Of Technology
Journal title
Makara Journal Of Technology
Record number
2717528
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