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1. FEATURE SELECTION METHODS FOR SUPPORT VECTOR MACHINES FOR TWO OR MORE CLASSES, WITH APPLICATIONS TO THE ANALYSIS OF ALZHEIMER'S DISEASE AND ITS ONSET WITH MRI BRAIN IMAGE PROCESSING

open_access
Open Access
Author:
Aksu, Yaman
Title:
FEATURE SELECTION METHODS FOR SUPPORT VECTOR MACHINES FOR TWO OR MORE CLASSES, WITH APPLICATIONS TO THE ANALYSIS OF ALZHEIMER'S DISEASE AND ITS ONSET WITH MRI BRAIN IMAGE PROCESSING
Graduate Program:
Electrical Engineering
Keywords:
Alzheimer
Support Vector Machine
biomedical imaging
discriminant function
classification
machine learning
MRI
brain imaging
gene microarray
File:
Download ya_thesis_after5aug10review.pdf
Committee Members:
Profs David J Miller And George Kesidis, Dissertation Advisor/Co-Advisor
David Jonathan Miller, Committee Chair/Co-Chair
George Kesidis, Committee Member
Qing X Yang, Committee Chair/Co-Chair
Constantino Manuel Lagoa, Committee Member
James Z Wang, Committee Member

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