Veerabhadrappa and Lalitha, R. (2010) Diagonal and secondary diagonal locality preserving projection for object recognition. Neurocomputing, 73 (16-18). pp. 3328-3333. ISSN 0925-2312
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In this paper, the variants of Two Dimensional Locality Preserving Projection (2DLPP) namely Diagonal Locality Preserving Projection (DiaLPP) and Secondary Diagonal Locality Preserving Projection (SDiaLPP) are proposed as the new dimensionality reduction techniques. The 2DLPP method seeks optimal projection vectors by using the row information of the image and the Alternate 2DLPP method seeks optimal projection vectors by using the column information of the image, whereas the DiaLPP seeks optimal projection vectors by interlacing both the rows and column information of the images. Experimental results on subset of COIL object database show that the proposed methods achieves higher recognition rate than 2DLPP and Diagonal Principal Component Analysis(DiaPCA). (C) 2010 Elsevier B.V. All rights reserved.
| Item Type: | Article |
|---|---|
| Subjects: | D Physical Science > Computer Science |
| Divisions: | Department of > Computer Science |
| Depositing User: | LA manjunath user |
| Date Deposited: | 08 Jul 2019 10:31 |
| Last Modified: | 19 Jul 2022 10:10 |
| URI: | http://eprints.uni-mysore.ac.in/id/eprint/4906 |
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