Sparse Representation-Based Open Set Recognition

We propose a generalized Sparse Representation-based Classification (SRC) algorithm for open set recognition where not all classes presented during testing are known during training. The SRC algorithm uses class reconstruction errors for classification. As most of the discriminative information for...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 39(2017), 8 vom: 15. Aug., Seite 1690-1696
1. Verfasser:	Zhang, He (VerfasserIn)
Weitere Verfasser:	Patel, Vishal M
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2017
Zugriff auf das übergeordnete Werk:	IEEE transactions on pattern analysis and machine intelligence
Schlagworte:	Journal Article Research Support, U.S. Gov't, Non-P.H.S.