Robust tensor analysis with L1-norm

Yanwei Pang; Xuelong Li; Yuan Yuan

doi:10.1109/TCSVT.2009.2020337

Robust tensor analysis with L1-norm

Yanwei Pang
, Xuelong Li
, Yuan Yuan

Tianjin University
CAS - Xi'an Institute of Optics and Precision Mechanics
Aston University

Research output: Contribution to journal › Article › peer-review

196 Scopus citations

Abstract

Tensor analysis plays an important role in modern image and vision computing problems. Most of the existing tensor analysis approaches are based on the Frobenius norm, which makes them sensitive to outliers. In this paper, we propose L1-norm-based tensor analysis (TPCA-L1), which is robust to outliers. Experimental results upon face and other datasets demonstrate the advantages of the proposed approach.

Original language	English
Article number	4812108
Pages (from-to)	172-178
Number of pages	7
Journal	IEEE Transactions on Circuits and Systems for Video Technology
Volume	20
Issue number	2
DOIs	https://doi.org/10.1109/TCSVT.2009.2020337
State	Published - Feb 2010
Externally published	Yes

Keywords

L1-norm
Outlier
Tensor analysis

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10.1109/TCSVT.2009.2020337

Cite this

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abstract = "Tensor analysis plays an important role in modern image and vision computing problems. Most of the existing tensor analysis approaches are based on the Frobenius norm, which makes them sensitive to outliers. In this paper, we propose L1-norm-based tensor analysis (TPCA-L1), which is robust to outliers. Experimental results upon face and other datasets demonstrate the advantages of the proposed approach.",

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AB - Tensor analysis plays an important role in modern image and vision computing problems. Most of the existing tensor analysis approaches are based on the Frobenius norm, which makes them sensitive to outliers. In this paper, we propose L1-norm-based tensor analysis (TPCA-L1), which is robust to outliers. Experimental results upon face and other datasets demonstrate the advantages of the proposed approach.

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KW - Outlier

KW - Tensor analysis

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DO - 10.1109/TCSVT.2009.2020337

M3 - 文章

AN - SCOPUS:76649139002

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Robust tensor analysis with L1-norm

Abstract

Keywords

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