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نمایش تعداد 1-10 از 39

Feature Extraction by Maximizing the Average Neighborhood Margin

نوع: Conference Paper

نویسنده : Fei Wang; Changshui Zhang

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

نوع: Journal Paper

نویسنده : Zheng Pan; Changshui Zhang

سال: 2014

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

نوع: Journal Paper

نویسنده : Jianguo Lee; Changshui Zhang

ناشر: Elsevier Science

سال: 2006

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A new algorithm for character segmentation of license plate

نوع: Journal Paper

نویسنده : Yungang Zhang; Changshui Zhang

سال: 2003

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

نوع: Journal Paper

نویسنده : Shiliang Sun; Changshui Zhang

سال: 2005

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Dependent Online Kernel Learning With Constant Number of Random Fourier Features

نوع: Journal Paper

نویسنده : Zhen Hu; Ming Lin; Changshui Zhang

سال: 2015

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Efficient Active Learning with Boosting

نوع: Journal Paper

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

ناشر: Society for Industrial and Applied Mathematics

سال: 2009

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

نوع: Journal Paper

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

سال: 2013

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Real-Time Traffic Light Detection With Adaptive Background Suppression Filter

نوع: Journal Paper

نویسنده : Zhenwei Shi; Zhengxia Zou; Changshui Zhang

سال: 2016

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

نوع: Journal Paper

نویسنده : Shiliang Sun; Changshui Zhang; Naijiang Lu

سال: 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