CONF Cardinaux02NSI/IDIAP Face Verification using MLP and SVM Cardinaux, Fabien Marcel, Sébastien EXTERNAL https://publications.idiap.ch/attachments/reports/2002/rr-02-21.pdf PUBLIC https://publications.idiap.ch/index.php/publications/showcite/cardinaux02rr Related documents XI Journees NeuroSciences et Sciences pour l'Ingenieur (NSI 2002) 21 2002 La Londe Les Maures, France 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. REPORT Cardinaux02RR/IDIAP Face Verification using MLP and SVM Cardinaux, Fabien Marcel, Sébastien EXTERNAL https://publications.idiap.ch/attachments/reports/2002/rr-02-21.pdf PUBLIC Idiap-RR-21-2002 2002 IDIAP 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.