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نمایش تعداد 1-10 از 16

Learning a Mahalanobis distance metric for data clustering and classification

نوع: Journal Paper

نویسنده : Shiming Xiang; Feiping Nie; Changshui Zhang

ناشر: Elsevier Science

سال: 2008

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A general kernelization framework for learning algorithms based on kernel PCA

نوع: Journal Paper

نویسنده : Changshui Zhang; Feiping Nie; Shiming Xiang

ناشر: Elsevier Science

سال: 2010

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

نوع: Journal Paper

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

سال: 2018

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Cross-Modal Retrieval via Deep and Bidirectional Representation Learning

نوع: Journal Paper

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

سال: 2016

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Semi-supervised orthogonal discriminant analysis via label propagation

نوع: Journal Paper

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

سال: 2009

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Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks

نوع: Journal Paper

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

سال: 2014

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Level set evolution with locally linear classification for image segmentation

نوع: Journal Paper

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

سال: 2011

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Orthogonal vs. uncorrelated least squares discriminant analysis for feature extraction

نوع: Journal Paper

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

ناشر: Elsevier Science

سال: 2012

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

نوع: Journal Paper

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

سال: 2014

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A unified framework for semi-supervised dimensionality reduction

نوع: Journal Paper

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

ناشر: Elsevier Science

سال: 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