Low Rank Correlation Representation and Clustering

Low Rank Correlation Representation and Clustering

Correlation learning is a technique utilized to find a common representation in cross-domain and multiview datasets. However, most existing methods are not robust enough to handle noisy data. As such, the common representation matrix learned could be influenced easily by noisy samples inherent in di...

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Bibliographic Details
Main Authors:	Wenyun Gao, Sheng Dai, Stanley Ebhohimhen Abhadiomhen, Wei He, Xinghui Yin
Format:	Article
Language:	English
Published:	Hindawi Limited 2021-01-01
Series:	Scientific Programming
Online Access:	http://dx.doi.org/10.1155/2021/6639582

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