Age interval and gender prediction using PARAFAC2 and SVMs based on visual and aural features.

Evangelia Pantraki,Constantine Kotropoulos,Andreas Lanitis

IET Biometrics（2017）

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摘要

Parallel factor analysis 2 (PARAFAC2) is employed to reduce the dimensions of visual and aural features and provide ranking vectors. Subsequently, score level fusion is performed by applying a support vector machine (SVM) classifier to the ranking vectors derived by PARAFAC2 to make gender and age interval predictions. The aforementioned procedure is applied to the Trinity College Dublin Speaker A...

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关键词

face recognition,feature extraction,image classification,image fusion,parallel processing,speaker recognition,support vector machines,vectors

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