Jie Yang, Hua Yu, William Kunz  Home/Search
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Abstract: It has been demonstrated that the Linear Discriminant Analysis (LDA) approach outperforms the Principal Component Analysis (PCA) approach in face recognition tasks. Due to the high dimensionality of a image space, many LDA based approaches, however, first use the PCA to project an image into a lower dimensional space or so-called face space, and then perform the LDA to maximize the discriminatory power. In this paper, we propose a new, unified LDA/PCA algorithm for face recognition. The new... (Update)
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BibTeX entry: (Update)
J. Yang, Y. Yu, W. Kunz, "An Efficient LDA Algorithm for Face Recognition," The Sixth International Conference on Control, Automation, Robotics and Vision (ICARCV2000). http://citeseer.ist.psu.edu/article/yang00efficient.html More
@inproceedings{ yang00face,
author = "J. Yang and Y. Yu and W. Kunz",
title = "An Efficient LDA Algorithm for Face Recognition",
booktitle = "6th International Conference on Control, Automation, Robotics and Vision (ICARCV2000)",
year = 2000,
url = "citeseer.ist.psu.edu/article/yang00efficient.html",
url = "http://citeseer.nj.nec.com/article/yang00efficient.html" }
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