Mixture of SVMs for face class modeling

MEYNET, J; Vlad POPOVICI a JP THIRAN. Mixture of SVMs for face class modeling. In Bengio, S Bourlard, H. MACHINE LEARNING FOR MULTIMODAL INTERACTION. BERLIN: SPRINGER-VERLAG BERLIN, 2005, s. 173-181. ISSN 0302-9743.

Základní údaje

Originální název

Mixture of SVMs for face class modeling

Autoři

MEYNET, J; Vlad POPOVICI a JP THIRAN

Vydání

BERLIN, MACHINE LEARNING FOR MULTIMODAL INTERACTION, od s. 173-181, 9 s. 2005

Nakladatel

SPRINGER-VERLAG BERLIN

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Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Utajení

není předmětem státního či obchodního tajemství

Impakt faktor

Impact factor: 0.402

Označené pro přenos do RIV

Ne

ISSN

UT WoS

000228664600015

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Anotace

V originále

We(1) present a method for face detection which uses a new SVM structure trained in an expert manner in the eigenface space. This robust method has been introduced as a post processing step in a real-time face detection system. The principle is to train several parallel SVMs on subsets of some initial training set and then train a second layer SVM on the margins of the first layer of SVMs. This approach presents a number of advantages over the classical SVM: firstly the training time is considerably reduced and secondly the classification performance is improved, we will present some comparisions with the single SVM approach for the case of human face class modeling.