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Sparse matrix factorization with <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si9.svg"> <mml:msub> <mml:mi>L</mml:mi> <mml:mrow> <mml:mn>2</mml:mn> <mml:mo>,</mml:mo> <mml:mn>1</mml:mn> </mml:mrow> </mml:msub> </mml:math> norm for matrix completion

Xiaobo Jin, Jianyu Miao, Qiufeng Wang, Guanggang Geng, Kaizhu Huang

2022Pattern Recognition16 citationsDOI

Topics & Concepts

Matrix (chemical analysis)FactorizationMathematicsAlgorithmMatrix decompositionComputer scienceCombinatoricsPhysicsEigenvalues and eigenvectorsComposite materialMaterials scienceQuantum mechanicsSparse and Compressive Sensing TechniquesMatrix Theory and AlgorithmsFace and Expression Recognition
Sparse matrix factorization with <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si9.svg"> <mml:msub> <mml:mi>L</mml:mi> <mml:mrow> <mml:mn>2</mml:mn> <mml:mo>,</mml:mo> <mml:mn>1</mml:mn> </mml:mrow> </mml:msub> </mml:math> norm for matrix completion | Litcius