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Maxi-Min discriminant analysis via online learning

Type: Journal Paper

Author : Bo Xu; Kaizhu Huang; Cheng-Lin Liu

Year: 2012

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A Unified Gradient Regularization Family for Adversarial Examples

Type: Journal Paper

Author : Chunchuan Lyu; Kaizhu Huang; Hai-Ning Liang

Year: 2015

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A fast projected fixed-point algorithm for large graph matching

Type: Journal Paper

Author : Yao Lu; Kaizhu Huang; Cheng-Lin Liu

Year: 2016

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A multi-task framework for metric learning with common subspace

Type: Journal Paper

Author : Peipei Yang, Kaizhu Huang, Cheng-Lin Liu

Year: 2013

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Generalized sparse metric learning with relative comparisons

Type: Journal Paper

Author : Kaizhu Huang; Yiming Ying; Colin Campbell

Year: 2011

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Maxi–Min Margin Machine: Learning Large Margin Classifiers Locally and Globally

Type: Journal Paper

Author : Kaizhu Huang; Haiqin Yang; I. King; M.R. Lyu

Year: 2008

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Robust Text Detection in Natural Scene Images

Type: Journal Paper

Author : Xu-Cheng Yin; Xuwang Yin; Kaizhu Huang; Hong-Wei Hao

Year: 2014

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Convex ensemble learning with sparsity and diversity

Type: Journal Paper

Author : Xu-Cheng Yin; Kaizhu Huang; Chun Yang; Hong-Wei Hao

Year: 2014

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DE2: Dynamic ensemble of ensembles for learning nonstationary data

Type: Journal Paper

Author : Xu-Cheng Yin; Kaizhu Huang; Hong-Wei Hao

Year: 2015

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Dynamic Ensemble of Ensembles in Nonstationary Environments

Type: Journal Paper

Author : Xu-Cheng Yin; Kaizhu Huang; Hong-Wei Hao

Year: 2013

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Maxi-Min discriminant analysis via online learning

A Unified Gradient Regularization Family for Adversarial Examples

A fast projected fixed-point algorithm for large graph matching

A multi-task framework for metric learning with common subspace

Generalized sparse metric learning with relative comparisons

Maxi–Min Margin Machine: Learning Large Margin Classifiers Locally and Globally

Robust Text Detection in Natural Scene Images

Convex ensemble learning with sparsity and diversity

DE2: Dynamic ensemble of ensembles for learning nonstationary data

Dynamic Ensemble of Ensembles in Nonstationary Environments

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Maxi-Min discriminant analysis via online learning

A Unified Gradient Regularization Family for Adversarial Examples

A fast projected fixed-point algorithm for large graph matching

A multi-task framework for metric learning with common subspace

Generalized sparse metric learning with relative comparisons

Maxi–Min Margin Machine: Learning Large Margin Classifiers Locally and Globally

Robust Text Detection in Natural Scene Images

Convex ensemble learning with sparsity and diversity

DE2: Dynamic ensemble of ensembles for learning nonstationary data

Dynamic Ensemble of Ensembles in Nonstationary Environments