A Direct Locality Preserving Projections (DLPP) Algorithm for Image Recognition

被引：0
|
作者：
Guiyu Feng
Dewen Hu
Zongtan Zhou
机构：
[1] National University of Defense Technology,Department of Automatic Control, College of Mechatronics and Automation
来源：
Neural Processing Letters | 2008年 / 27卷
关键词：
Principal component analysis (PCA); Linear discriminant analysis (LDA); Locality preserving projections (LPP); Direct locality preserving projections (DLPP); Image recognition;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper proposes a novel locality preserving projections (LPP) algorithm for image recognition, namely, the direct locality preserving projections (DLPP), which directly optimizes locality preserving criterion on high-dimensional raw images data via simultaneous diagonalization, without any dimensionality reduction preprocessing. Our algorithm is a direct and complete implementation of LPP. Experimental results on the PolyU palmprint database and ORL face database show the effectiveness of the proposed algorithm.
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页码：247 / 255
页数：8
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