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The Scientific World Journal
Volume 2014, Article ID 468176, 16 pages
http://dx.doi.org/10.1155/2014/468176
Research Article

PEM-PCA: A Parallel Expectation-Maximization PCA Face Recognition Architecture

1Applied Network Technology (ANT) Laboratory, Department of Computer Science, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand
2Department of Mathematics, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand

Received 24 November 2013; Accepted 30 January 2014; Published 15 April 2014

Academic Editors: J. Shu and F. Yu

Copyright © 2014 Kanokmon Rujirakul et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [9 citations]

The following is the list of published articles that have cited the current article.

  • Kanokmon Rujirakul, Chakchai So-In, and Banchar Anonkijpanich, “Weighted histogram equalized PEM-PCA face recognition,” 2014 International Computer Science and Engineering Conference (ICSEC), pp. 144–150, . View at Publisher · View at Google Scholar
  • Kanokmon Rujirakul, and Chakchai So-In, “P-PCC: Parallel pearson correlation condition for robust cosmetic makeup face recognitions,” Lecture Notes in Electrical Engineering, vol. 339, pp. 259–266, 2015. View at Publisher · View at Google Scholar
  • Muhammad Usman Karim Khan, Muhammad Shafique, and Jorg Henkel, “Power-Efficient Workload Balancing for Video Applications,” IEEE Transactions on Very Large Scale Integration (VLSI) Systems, pp. 1–14, 2015. View at Publisher · View at Google Scholar
  • Muhammad Usman Karim Khan, Muhammad Shafique, Jörg Henkel, Muhammad Usman Karim Khan, Muhammad Shafique, and Jörg Henkel, “Background and Related Work,” Energy Efficient Embedded Video Processing Systems, pp. 25–65, 2017. View at Publisher · View at Google Scholar
  • Muhammad Usman Karim Khan, Muhammad Shafique, and Jörg Henkelpp. 1–238, 2017. View at Publisher · View at Google Scholar
  • Bin Fang, Yuan Yan Tang, and Guangchao Yang, “Robust face recognition with multi-scale Weber local descriptor,” International Journal of Wavelets, Multiresolution and Information Processing, vol. 15, no. 5, 2017. View at Publisher · View at Google Scholar
  • Valentin Schwind, Katrin Wolf, and Niels Henze, “FaceMaker—A Procedural Face Generator to Foster Character Design Research,” Game Dynamics, pp. 95–113, 2017. View at Publisher · View at Google Scholar
  • Jia Li, and Ding Yan, “Face recognition using composite classifier with 2DPCA,” Proceedings of SPIE - The International Society for Optical Engineering, vol. 10322, 2017. View at Publisher · View at Google Scholar
  • R. Boostani, M. Sabeti, S. Omranian, and S. Kouchaki, “ECG-Based Personal Identification Using Empirical Mode Decomposition and Hilbert Transform,” Iranian Journal of Science and Technology, Transactions of Electrical Engineering, 2018. View at Publisher · View at Google Scholar