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Open AccessJournal ArticleDOI

Product defect categorization using machine vision through machine learning

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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.

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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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Recent developments in the applications of image processing techniques for food quality evaluation

TL;DR: Recent advances in image processing techniques for food quality evaluation are reviewed, which include charge coupled device camera, ultrasound, magnetic resonance imaging, computed tomography, and electrical tomography for image acquisition; pixel and local pre- processing approaches for image pre-processing; thresholding- based, gradient-based, region-based; and classification-based methods for image segmentation.
Journal ArticleDOI

Fault diagnosis of automobile hydraulic brake system using statistical features and support vector machines

TL;DR: On-line condition monitoring by using machine learning approach is proposed in this paper as a possible solution to hydraulic brakes problems by using the decision tree algorithm.
Journal ArticleDOI

An Improved KNN Text Classification Algorithm Based on Clustering

TL;DR: The simulation results show that the algorithm proposed in this paper can not only effectively reduce the actual number of training samples and lower the calculation complexity, but also improve the accuracy of KNN text classification algorithm.
Journal ArticleDOI

Vertical bagging decision trees model for credit scoring

TL;DR: A novel credit-scoring model, called vertical bagging decision trees model (abbreviated to VBDTM), is proposed for the purpose, which is a new bagging method that is different from the traditional bagging.