Robust classification using \(\ell _{2,1}\)-norm based regression model

DOI10.1016/j.patcog.2012.01.003zbMath1236.68210OpenAlexW1996452481MaRDI QIDQ411933

Dao-Qing Dai, Chuan-Xian Ren, Hong Yan

Publication date: 2 May 2012

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2012.01.003

zbMATH Keywords

sparsity regularization\(\ell _{21}\)-normdummy variablesmultiple task learningnearest subspace

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

The \(L_{2,1}\)-norm-based unsupervised optimal feature selection with applications to action recognition

Uses Software

• CMU PIE

Cites Work

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• Global Solutions of Variational Models with Convex Regularization
• Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
• Bayesian Compressive Sensing Using Laplace Priors
• Prostate Cancer Localization With Multispectral MRI Using Cost-Sensitive Support Vector Machines and Conditional Random Fields
• Model Selection and Estimation in Regression with Grouped Variables

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