Directed random subspace method for face recognition

Mehrtash T. Harandi, Majid Nili Ahmadabadi, Babak N. Araabi, Abbas Bigdeli, Brian C. Lovell

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

5 Citations (Scopus)

Abstract

With growing attention to ensemble learning, in recent years various ensemble methods for face recognition have been proposed that show promising results. Among diverse ensemble construction approaches, random subspace method has received considerable attention in face recognition. Although random feature selection in random subspace method improves accuracy in general, it is not free of serious difficulties and drawbacks. In this paper we present a learning scheme to overcome some of the drawbacks of random feature selection in the random subspace method. The proposed learning method derives a feature discrimination map based on a measure of accuracy and uses it in a probabilistic recall mode to construct an ensemble of subspaces. Experiments on different face databases revealed that the proposed method gives superior performance over the well-known benchmarks and state of the art ensemble methods.

Original languageEnglish
Title of host publicationProceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010
Pages2688-2691
Number of pages4
DOIs
Publication statusPublished - 18 Nov 2010
Externally publishedYes
EventInternational Conference on Pattern Recognition 2010 - Istanbul, Türkiye
Duration: 23 Aug 201026 Aug 2010
Conference number: 20th
https://ieeexplore.ieee.org/xpl/conhome/5595335/proceeding (Proceedings)

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651

Conference

ConferenceInternational Conference on Pattern Recognition 2010
Abbreviated titleICPR 2010
Country/TerritoryTürkiye
CityIstanbul
Period23/08/1026/08/10
Internet address

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