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Mathematical Problems in Engineering
Volume 2016 (2016), Article ID 9347838, 12 pages
http://dx.doi.org/10.1155/2016/9347838
Research Article

A Unified Factors Analysis Framework for Discriminative Feature Extraction and Object Recognition

1School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China
2School of International College, Huanghuai University, Zhumadian, Henan 463000, China
3School of Computer Science and Technology, Hubei University of Science and Technology, Xianning 437100, China
4National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China

Received 22 October 2015; Revised 7 March 2016; Accepted 28 March 2016

Academic Editor: Paolo Crippa

Copyright © 2016 Ningbo Hao 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.

How to Cite this Article

Ningbo Hao, Jie Yang, Haibin Liao, and Wenhua Dai, “A Unified Factors Analysis Framework for Discriminative Feature Extraction and Object Recognition,” Mathematical Problems in Engineering, vol. 2016, Article ID 9347838, 12 pages, 2016. doi:10.1155/2016/9347838