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Showing 1 to 3 of 3 for “"support vector data description"”.

  1. Mahalanobis kernel-based support vector data description for detection of large shifts in mean vector

    … SPC offers. Creation of the K chart 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 …

    ucf

  2. Development of a Pharmaceutical Tablet Authentication system using Spectroscopic Techniques in combination with Multivariate Chemometric Methods

    … of class analogy (SIMCA) method. 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 …

    duquesne Repository record for Development of a Pharmaceutical Tablet Authentication system using Spectroscopic Techniques in combination with Multivariate Chemometric Methods (opens in a new tab)

  3. A COMPONENT-BASED APPROACH TO HAND-BASED VERIFICATION AND IDENTIFICATION SYSTEM

    … for verification and recognition purposes on a database of 101 subjects with 10 images per subject, illustrating high accuracy and robustness. Comparisons with related approaches involving the use of the whole hand or different parts of the hand illustratethe superiority of the proposed …

    unr Repository record for A COMPONENT-BASED APPROACH TO HAND-BASED VERIFICATION AND IDENTIFICATION SYSTEM (opens in a new tab)