Kernel based Extreme Learning Machines for Image Classification
نویسندگان
چکیده
This paper investigates possibilities for application of Kernel based Extreme Learning Machines (K-ELM) to the problem of multiclass image classification. It is combined with Local Binary Pattern (LBP) image descriptor, to reach highly accurate results. LBP is widely used global image descriptor characterized by compactness and robustness to illumination and resolution changes. Classification is done using recently introduced K-ELM method. Experimental evaluation on a standard benchmark dataset consisting of thousand images classified in ten categories, has shown high accuracy of results comparing to other benchmark models.
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تاریخ انتشار 2016