Research article summary (published 30 Jul 2008):

Comments on "globally maximizing, locally minimizing: unsupervised discriminant projection with application to face and palm biometrics".

Full Abstract

In [1], UDP is proposed to address the limitation of LPP for the clustering and classification tasks. In this communication, we show that the basic ideas of UDP and LPP are identical. In particular, UDP is just a simplified version of LPP on the assumption that the local density is uniform.

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Author information

Author/s: Deng, Weihong (W); Hu, Jiani (J); Guo, Jun (J); Zhang, Honggang (H); Zhang, Chuang (C);

Affiliation: Laboratory of Pattern Recognition and Intelligent System, School of Information Engineering, Beijing University of Posts and Telecommunications, Beijing, China. whdeng(-atsign-)126.com

Journal and publication information

Publication Type: Comment; Journal Article; Research Support, Non-U.S. Gov't

Journal: IEEE transactions on pattern analysis and machine intelligence (IEEE Trans Pattern Anal Mach Intell), published in United States. (Language: eng)

Reference: 2008-Aug; vol 30 (issue 8) : pp 1503-4

Dates: Created 2008/06/20; Completed 2008/08/28;

PMID: 18566503, status: MEDLINE (last retrieval date: 11/6/2008)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

Comments and Corrections

CommentOn: IEEE Trans Pattern Anal Mach Intell. 2007 Apr;29(4):650-64. (PMID: 17299222)

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MeSH headings (categories)

This article was linked to the MESH Headings shown below.

Algorithms Artificial Intelligence Biometry - methods Computer Simulation Discriminant Analysis Face - anatomy & histology Hand - anatomy & histology

Hand - anatomy & histology Humans Image Interpretation, Computer-Assisted - methods Models, Biological Pattern Recognition, Automated - methods Reproducibility of Results Sensitivity and Specificity

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