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Now showing items 1-10 of 39

Feature Extraction by Maximizing the Average Neighborhood Margin

Type: Conference Paper

Author : Fei Wang; Changshui Zhang

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Relaxed sparse eigenvalue conditions for sparse estimation via non-convex regularized regression

Type: Journal Paper

Author : Zheng Pan; Changshui Zhang

Year: 2014

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Classification of gene-expression data: The manifold-based metric learning way

Type: Journal Paper

Author : Jianguo Lee; Changshui Zhang

Publisher: Elsevier Science

Year: 2006

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A new algorithm for character segmentation of license plate

Type: Journal Paper

Author : Yungang Zhang; Changshui Zhang

Year: 2003

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Learning On-Line Classification via Decorrelated LMS Algorithm: Application to Brain-Computer Interfaces

Type: Journal Paper

Author : Shiliang Sun; Changshui Zhang

Year: 2005

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Dependent Online Kernel Learning With Constant Number of Random Fourier Features

Type: Journal Paper

Author : Zhen Hu; Ming Lin; Changshui Zhang

Year: 2015

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Efficient Active Learning with Boosting

Type: Journal Paper

Author : Wang, Zheng, Yangqiu Song, and Changshui Zhang.

Publisher: Society for Industrial and Applied Mathematics

Year: 2009

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SVM-SVDD: A New Method to Solve Data Description Problem with Negative Examples

Type: Journal Paper

Author : Zhigang Wang; Zeng-Shun Zhao; Changshui Zhang

Year: 2013

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Real-Time Traffic Light Detection With Adaptive Background Suppression Filter

Type: Journal Paper

Author : Zhenwei Shi; Zhengxia Zou; Changshui Zhang

Year: 2016

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On the On-line Learning Algorithms for EEG Signal Classification in Brain Computer Interfaces

Type: Journal Paper

Author : Shiliang Sun; Changshui Zhang; Naijiang Lu

Year: 2005

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Feature Extraction by Maximizing the Average Neighborhood Margin

Relaxed sparse eigenvalue conditions for sparse estimation via non-convex regularized regression

Classification of gene-expression data: The manifold-based metric learning way

A new algorithm for character segmentation of license plate

Learning On-Line Classification via Decorrelated LMS Algorithm: Application to Brain-Computer Interfaces

Dependent Online Kernel Learning With Constant Number of Random Fourier Features

Efficient Active Learning with Boosting

SVM-SVDD: A New Method to Solve Data Description Problem with Negative Examples

Real-Time Traffic Light Detection With Adaptive Background Suppression Filter

On the On-line Learning Algorithms for EEG Signal Classification in Brain Computer Interfaces

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Feature Extraction by Maximizing the Average Neighborhood Margin

Relaxed sparse eigenvalue conditions for sparse estimation via non-convex regularized regression

Classification of gene-expression data: The manifold-based metric learning way

A new algorithm for character segmentation of license plate

Learning On-Line Classification via Decorrelated LMS Algorithm: Application to Brain-Computer Interfaces

Dependent Online Kernel Learning With Constant Number of Random Fourier Features

Efficient Active Learning with Boosting

SVM-SVDD: A New Method to Solve Data Description Problem with Negative Examples

Real-Time Traffic Light Detection With Adaptive Background Suppression Filter

On the On-line Learning Algorithms for EEG Signal Classification in Brain Computer Interfaces