TY - JOUR ID - 1159 TI - Parallel Spatial Pyramid Match Kernel Algorithm for Object Recognition using a Cluster of Computers JO - Journal of AI and Data Mining JA - JADM LA - en SN - 2322-5211 AU - Asilian Bidgoli, A. AU - Ebrahimpour-Komle, H. AU - Askari, M. AU - Mousavirad, Seyed J. AD - 1) Department of Computer Engineering, University of Kashan, Kashan, Iran 2)Instructor, Faculty of Elecronic and Computer Engineering Pooyesh Higher Education Institute Qom, Iran AD - Department of Computer Engineering, University of Kashan, Kashan, Iran Y1 - 2019 PY - 2019 VL - 7 IS - 1 SP - 97 EP - 108 KW - Object recognition KW - Spatial pyramid match kernel KW - Parallel computing KW - Cluster of computers KW - Support Vector Machine DO - 10.22044/jadm.2017.4152.1503 N2 - 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. UR - https://jad.shahroodut.ac.ir/article_1159.html L1 - https://jad.shahroodut.ac.ir/article_1159_169528cafc621bc8706b75fb43a5d686.pdf ER -