Globally maximizing, locally minimizing unsupervised discriminant projection with applications to face and palm biometrics

Globally maximizing, locally minimizing : unsupervised discriminant projection with applications to face and palm biometrics

This paper develops an unsupervised discriminant projection (UDP) technique for dimensionality reduction of high-dimensional data in small sample size cases. UDP can be seen as a linear approximation of a multimanifolds-based learning framework which takes into account both the local and nonlocal qu...

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Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence. - 1998. - 29(2007), 4 vom: 13. Apr., Seite 650-64
1. Verfasser: Yang, Jian (VerfasserIn)
Weitere Verfasser: Zhang, David, Yang, Jing-Yu, Niu, Ben
Format: Aufsatz
Sprache:English
Veröffentlicht: 2007
Zugriff auf das übergeordnete Werk:IEEE transactions on pattern analysis and machine intelligence
Schlagworte:Evaluation Study Journal Article Research Support, Non-U.S. Gov't