L1-Norm Tucker Tensor Decomposition

Tucker decomposition is a standard multi-way generalization of Principal-Component Analysis (PCA), appropriate for processing tensor data. Similar to PCA, Tucker decomposition has been shown to be sensitive against faulty data, due to its L2-norm-based formulation which places squared emphasis to pe...

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Veröffentlicht in:	IEEE access 2019, Vol.7, p.178454-178465
Hauptverfasser:	Chachlakis, Dimitris G., Prater-Bennette, Ashley, Markopoulos, Panos P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Approximation algorithms Arrays Data analysis Decomposition L1-norm Mathematical analysis Matrix decomposition multi-modal data Principal component analysis Resistance Singular value decomposition tensor decomposition Tensors Tucker
Online-Zugang:	Volltext
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