Robust Sparse Canonical Correlation Analysis: New Formulation and Application to Fault Detection

Canonical correlation analysis (CCA) has received wide attention in multiview representation. To improve its reliability, this letter studies a new robust sparse CCA formulation called RSCCA. Technically, a sparse matrix is introduced to characterize the sample-specific corruptions with a column-spa...

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Veröffentlicht in:	IEEE sensors letters 2022-08, Vol.6 (8), p.1-4
Hauptverfasser:	Xiu, Xianchao, Miao, Zhonghua
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms canonical correlation analysis (CCA) Correlation Correlation analysis Fault detection Minimization multiview representation Optimization Principal component analysis Regularization Representations robust subspace learning Robustness Sensor signal processing Sensors Sparse matrices
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