Learning hierarchical representations for face verification with convolutional deep belief networks

Most modern face recognition systems rely on a feature representation given by a hand-crafted image descriptor, such as Local Binary Patterns (LBP), and achieve improved performance by combining several such representations. In this paper, we propose deep learning as a natural source for obtaining a...

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Bibliographische Detailangaben

Hauptverfasser:	Huang, G. B., Honglak Lee, Learned-Miller, E.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Accuracy Convolutional codes Face Face recognition Measurement Training Vectors
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