von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification

13 Jun 2017Md. Abul HasnatJulien BohnéJonathan MilgramStéphane GentricLiming Chen

A number of pattern recognition tasks, \textit{e.g.}, face verification, can be boiled down to classification or clustering of unit length directional feature vectors whose distance can be simply computed by their angle. In this paper, we propose the von Mises-Fisher (vMF) mixture model as the theoretical foundation for an effective deep-learning of such directional features and derive a novel vMF Mixture Loss and its corresponding vMF deep features... (read more)

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