Side Information in Robust Principal Component Analysis: Algorithms and Applications

Robust Principal Component Analysis (RPCA) aims at recovering a low-rank subspace from grossly corrupted high-dimensional (often visual) data and is a cornerstone in many machine learning and computer vision applications. Even though RPCA has been shown to be very successful in solving many rank min...

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Hauptverfasser:	Xue, Niannan, Panagakis, Yannis, Zafeiriou, Stefanos
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
Online-Zugang:	Volltext bestellen
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