Graph embedding: a general framework for dimensionality reduction

• Published in: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) Vol. 2; pp. 830 - 837 vol. 2
• Main Authors: Shuicheng Yan, Dong Xu, Benyu Zhang, Hong-Jiang Zhang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2005
• Subjects: Algorithm design and analysis; Asia; Geometry; Kernel; Laboratories; Laplace equations; Linear discriminant analysis; Principal component analysis; Statistics; Vectors

In the last decades, a large family of algorithms - supervised or unsupervised; stemming from statistic or geometry theory - have been proposed to provide different solutions to the problem of dimensionality reduction. In this paper, beyond the different motivations of these algorithms, we propose a...