Robust principal component analysis based on maximum correntropy criterion

Principal component analysis (PCA) minimizes the mean square error (MSE) and is sensitive to outliers. In this paper, we present a new rotational-invariant PCA based on maximum correntropy criterion (MCC). A half-quadratic optimization algorithm is adopted to compute the correntropy objective. At ea...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 20(2011), 6 vom: 26. Juni, Seite 1485-94
1. Verfasser:	He, Ran (VerfasserIn)
Weitere Verfasser:	Hu, Bao-Gang, Zheng, Wei-Shi, Kong, Xiang-Wei
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2011
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article Research Support, Non-U.S. Gov't