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Showing 1 to 4 of 4 for “"Svdd"”.
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Mahalanobis kernel-based support vector data description for detection of large shifts in mean vector
… is based on Support Vector Data Description (SVDD), a popular data classifier method inspired by Support Vector Machine (SVM). As any methods associated with SVM, SVDD benefits from a wide variety of choices of kernel, which determines the effectiveness of the whole model. Among the most …
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Development of a Pharmaceutical Tablet Authentication system using Spectroscopic Techniques in combination with Multivariate Chemometric Methods
… Hence, the support vector data description (SVDD) method—which has no distribution assumption—is proposed for use as a class modeling approach for authentication purposes. Implementing the SVDD algorithm improved model performance by reducing false negatives relative to the traditional …
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Thickness estimation, automated classification and novelty detection in ultrasound images of the plantar fascia tissues
… a normality model by training the one-class SVDD classifier using only asymptomatic PF training datasets, and computing novelty scores using the trained SVDD classifier, training and testing asymptomatic datasets, and testing symptomatic datasets of the PF dataset. The performance evaluation …
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A COMPONENT-BASED APPROACH TO HAND-BASED VERIFICATION AND IDENTIFICATION SYSTEM
… evaluated by a Support Vector Data Description (SVDD). The confidence of a query hand is determined by the maximum confidence of all fingers. If the maximum confidence is higher than a threshold, the boundariesof all fingers' SVDDs are incrementally updated to learn the variations of the input …