Face Verification using MLP and SVM

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.


Published in:
XI Journees NeuroSciences et Sciences pour l'Ingenieur (NSI 2002), 21
Presented at:
XI Journees NeuroSciences et Sciences pour l'Ingenieur (NSI 2002)
Year:
2002
Publisher:
La Londe Les Maures, France
Keywords:
Laboratories:




 Record created 2006-03-10, last modified 2018-03-17

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