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Learning a Mahalanobis distance metric for data clustering and classification

Type: Journal Paper

Author : Shiming Xiang; Feiping Nie; Changshui Zhang

Publisher: Elsevier Science

Year: 2008

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A general kernelization framework for learning algorithms based on kernel PCA

Type: Journal Paper

Author : Changshui Zhang; Feiping Nie; Shiming Xiang

Publisher: Elsevier Science

Year: 2010

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Vision-Based Occlusion Handling and Vehicle Classification for Traffic Surveillance Systems

Type: Journal Paper

Author : Jianlong Chang; Lingfeng Wang; Gaofeng Meng; Shiming Xiang; Chunhong Pan

Year: 2018

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Cross-Modal Retrieval via Deep and Bidirectional Representation Learning

Type: Journal Paper

Author : Yonghao He; Shiming Xiang; Cuicui Kang; Jian Wang; Chunhong Pan

Year: 2016

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Semi-supervised orthogonal discriminant analysis via label propagation

Type: Journal Paper

Author : Feiping Nie; Shiming Xiang; Yangqing Jia; Changshui Zhang

Year: 2009

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Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks

Type: Journal Paper

Author : Xueyun Chen; Shiming Xiang; Cheng-Lin Liu; Chun-Hong Pan

Year: 2014

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Level set evolution with locally linear classification for image segmentation

Type: Journal Paper

Author : Ying Wang; Lingfeng Wang; Shiming Xiang; Chunhong Pan

Year: 2011

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Orthogonal vs. uncorrelated least squares discriminant analysis for feature extraction

Type: Journal Paper

Author : Feiping Nie; Shiming Xiang; Yun Liu; Chenping Hou; Changshui Zhang

Publisher: Elsevier Science

Year: 2012

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Kernel sparse representation with pixel-level and region-level local feature kernels for face recognition

Type: Journal Paper

Author : Cuicui Kang; Shengcai Liao; Shiming Xiang; Chunhong Pan

Year: 2014

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A unified framework for semi-supervised dimensionality reduction

Type: Journal Paper

Author : Yangqiu Song; Feiping Nie; Changshui Zhang; Shiming Xiang

Publisher: Elsevier Science

Year: 2008

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Learning a Mahalanobis distance metric for data clustering and classification

A general kernelization framework for learning algorithms based on kernel PCA

Vision-Based Occlusion Handling and Vehicle Classification for Traffic Surveillance Systems

Cross-Modal Retrieval via Deep and Bidirectional Representation Learning

Semi-supervised orthogonal discriminant analysis via label propagation

Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks

Level set evolution with locally linear classification for image segmentation

Orthogonal vs. uncorrelated least squares discriminant analysis for feature extraction

Kernel sparse representation with pixel-level and region-level local feature kernels for face recognition

A unified framework for semi-supervised dimensionality reduction

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Learning a Mahalanobis distance metric for data clustering and classification

A general kernelization framework for learning algorithms based on kernel PCA

Vision-Based Occlusion Handling and Vehicle Classification for Traffic Surveillance Systems

Cross-Modal Retrieval via Deep and Bidirectional Representation Learning

Semi-supervised orthogonal discriminant analysis via label propagation

Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks

Level set evolution with locally linear classification for image segmentation

Orthogonal vs. uncorrelated least squares discriminant analysis for feature extraction

Kernel sparse representation with pixel-level and region-level local feature kernels for face recognition

A unified framework for semi-supervised dimensionality reduction