Product defect categorization using machine vision through machine learning
G. Karthikeyan,Monagari Naveen,R. Jegadeeshwaran,G. Sakthivel,D. Saravanakumar,J. Lakshmipathi +5 more
- Vol. 1716, Iss: 1, pp 012029
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The article was published on 2020-12-01 and is currently open access. It has received 0 citations till now. The article focuses on the topics: Machine vision & Categorization.read more
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Journal ArticleDOI
KPCA plus LDA: a complete kernel Fisher discriminant framework for feature extraction and recognition
TL;DR: A two-phase KFD framework is developed, i.e., kernel principal component analysis (KPCA) plus Fisher linear discriminant analysis (LDA), which provides novel insights into the nature of KFD.
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Vertical bagging decision trees model for credit scoring
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