Svm Global

Views Updated: Dec 15, 2025

Abbreviation

SVG

Pronunciation

/ˌɛs viː ˈɛm ˈɡloʊbəl/

Propose a method of image annotation using MPEG-7 descriptors and SVM The image features are global features based on MPEG-7 color and texture descriptors.
The parameter optimization for the SVM with mixed kernel function only includes penalty factor and kernel parameter. The weight coefficient is taken generally empirical value, which makes the parameter combination in the SVM unable to achieve the global optimization.
Not only does it utilize the generalization feature of SVM, but enhance the global search ability of PSO ( Particle Swarm Optimization ).
Based on the idea of structural risk minimization, it has been proved that the advantages of SVM include good generalization performance, global optima property and small time complexity.
SVM has good characteristics of simple structure, global optimum and strong generalization ability.

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