PolyU Institutional Repository >
COMP Journal/Magazine Articles >
Please use this identifier to cite or link to this item:
|Title: ||An improved LDA approach|
|Authors: ||Jing, Xiao-Yuan|
Zhang, David D.
|Subjects: ||Discrimination vectors selection|
Improved linear discrimination analysis (ILDA) approach
Principal components selection
|Issue Date: ||Oct-2004 |
|Citation: ||IEEE Transactions on systems, man, and cybernetics. Part B, Cybernetics, Oct. 2004, v. 34, no. 5, p.1942-1951.|
|Abstract: ||Linear discrimination analysis (LDA) technique is an important and well-developed area of image recognition and to
date many linear discrimination methods have been put forward. Despite these efforts, there persist in LDA at least three areas of weakness. The first weakness is that not all the discrimination vectors
that are obtained are useful in pattern classification. Second, it remains computationally expensive to make the discrimination vectors completely satisfy statistical uncorrelation. The third
weakness is that it is necessary to select the appropriate principal components. In this paper, we propose to improve discrimination technique in these three areas and to that end present an improved
LDA (ILDA) approach which synthesizes these improvements. Experimental results on different image databases demonstrate
that our improvements on LDA are efficient, and that ILDA outperforms other state-of-the-art linear discrimination methods.|
|Rights: ||© 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
|Type: ||Journal/Magazine Article|
|Appears in Collections:||COMP Journal/Magazine Articles|
All items in the PolyU Institutional Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
No item in the PolyU IR may be reproduced for commercial or resale purposes.