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Support vector class description (SVCD): Classification in kernel space
Pilsung Kang
, Sungzoon Cho
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Corresponding author for this work
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Article
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peer-review
3
Citations (Scopus)
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Keyphrases
Support Vector
100%
Kernel Space
100%
Classification Performance
33%
Feature Space
33%
Hypersphere
33%
Support Vector Machine
16%
Popular
16%
Kernel-based
16%
One-class Classification
16%
Input Space
16%
Classification Algorithms
16%
Vector Kernels
16%
Analysis Support
16%
Parameter Sensitivity
16%
Kernel Fisher Discriminant Analysis
16%
Correction Rate
16%
Sparse Solution
16%
Classification Data
16%
Support Vector Domain Description
16%
Receiving Operator Curve
16%
Linearly Non-separable
16%
Kernel-based Classification
16%
Binary Classification Algorithm
16%
Computer Science
Support Vector
100%
Class Description
100%
Classification Performance
28%
Feature Space
28%
Classification Algorithm
14%
Support Vector Machine
14%
Class Classification
14%
Extended Version
14%
Discriminant Analysis
14%
Data Classification
14%
Sparse Solution
14%
Sensitivity Parameter
14%
Binary Classification Algorithm
14%
Nonlinearly Separable Class
14%
Domain Description
14%