Parallel Spatial Pyramid Match Kernel Algorithm for Object Recognition using a Cluster of Computers
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 implementat...
Main Authors: | A. Asilian Bidgoli, H. Ebrahimpour-Komle, M. Askari, Seyed J. Mousavirad |
---|---|
Format: | Article |
Language: | English |
Published: |
Shahrood University of Technology
2019-03-01
|
Series: | Journal of Artificial Intelligence and Data Mining |
Subjects: | |
Online Access: | http://jad.shahroodut.ac.ir/article_1159_169528cafc621bc8706b75fb43a5d686.pdf |
Similar Items
-
A Generalized Pyramid Matching Kernel for Human Action Recognition in Realistic Videos
by: Wenjun Zhang, et al.
Published: (2013-10-01) -
A Performance Evaluation of Exact and Approximate Match Kernels for Object Recognition
by: Barbara Caputo, et al.
Published: (2010-02-01) -
An implementation of kernelization via matchings
by: Xiao, Dan
Published: (2004) -
Evaluation of image partitioning strategies for preserving spatial information of cross-sectional micrographs in automated wood recognition of Fagaceae
by: Sung-Wook Hwang, et al.
Published: (2021-02-01) -
Detection and Classification of Multiple Objects using an RGB-D Sensor and Linear Spatial Pyramid Matching
by: Georgios Triantafyllidis, et al.
Published: (2013-04-01)