Discriminant auto encoders for face recognition with expression and pose variations

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Discriminant auto encoders for face recognition with expression and pose variations

The key challenge of face recognition is to develop effective feature representations for reducing intra-personal variations while enlarging inter-personal differences. This paper presents a novel non-linear discriminant error criterion which can be used in effective feature learning from raw pixels...

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Bibliographic Details
Main Authors:	Pathirage, C., Li, L., Liu, Wan-Quan
Format:	Conference Paper
Published:	2017
Online Access:	http://hdl.handle.net/20.500.11937/60707

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