Robust Subspace Clustering with Compressed Data

Dimension reduction is widely regarded as an effective way for decreasing the computation, storage and communication loads of data-driven intelligent systems, leading to a growing demand for statistical methods that allow analysis (e.g., clustering) of compressed data. We therefore study in this pap...

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Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - (2019) vom: 24. Mai
1. Verfasser:	Liu, Guangcan (VerfasserIn)
Weitere Verfasser:	Zhang, Zhao, Liu, Qingshan, Xiong, Hongkai
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2019
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article