Parallel Spatial Pyramid Match Kernel Algorithm for Object Recognition using a Cluster of Computers
محل انتشار: مجله هوش مصنوعی و داده کاوی، دوره: 7، شماره: 1
سال انتشار: 1398
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 361
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شناسه ملی سند علمی:
JR_JADM-7-1_009
تاریخ نمایه سازی: 19 تیر 1398
چکیده مقاله:
This paper parallelizes the spatial pyramid match kernel (SPK) implementation. SPK is one of the most usable kernel methods, along with support vector machine classifier, with high accuracy in object recognition. MATLAB parallel computing toolbox has been used to parallelize SPK. In this implementation, MATLAB Message Passing Interface (MPI) functions and features included in the toolbox help us obtain good performance by two schemes of task-parallelization and dataparallelization models. Parallel SPK algorithm ran over a cluster of computers and achieved less run time. A speedup value equal to 13 is obtained for a configuration with up to 5 Quad processors.
کلیدواژه ها:
Object recognition ، Spatial pyramid match kernel ، Parallel computing ، Cluster of computers ، Support Vector Machine
نویسندگان
A. Asilian Bidgoli
۱) Department of Computer Engineering, University of Kashan, Kashan, Iran ۲)Instructor, Faculty of Elecronic and Computer Engineering Pooyesh Higher Education Institute Qom, Iran
H. Ebrahimpour-Komle
Department of Computer Engineering, University of Kashan, Kashan, Iran
M. Askari
Department of Computer Engineering, University of Kashan, Kashan, Iran
Seyed J. Mousavirad
Department of Computer Engineering, University of Kashan, Kashan, Iran