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 [BibTeX] [Marc21]
Face Verification using MLP and SVM
Type of publication: Idiap-RR
Citation: Cardinaux02RR
Number: Idiap-RR-21-2002
Year: 2002
Institution: IDIAP
Abstract: The performance of machine learning algorithms has steadily improved over the past few years, such as MLP or more recently SVM. In this paper, we compare two successful discriminant machine learning algorithms apply to the problem of face verification: MLP and SVM. These two algorithms are tested on a benchmark database, namely XM2VTS. Results show that a MLP is better than a SVM on this particular task.
Userfields: ipdmembership={vision}, language={English},
Keywords:
Projects Idiap
Authors Cardinaux, Fabien
Marcel, S├ębastien
Crossref by cardinaux03_avbpa
Cardinaux02NSI
Added by: [UNK]
Total mark: 0
Attachments
  • rr-02-21.pdf
  • rr-02-21.ps.gz
Notes