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A two-stage learning approach to face recognition

机译：面部识别的两阶段学习方法

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摘要

This paper introduces the Collaborative Representation (CR) techniques to small sample size conditions, and propose a Two-Stage learning approach to face recognition based on Collaborative Representation (TSCR). Based on the assumption that the same class samples should lie in the same subspace, we first use the unlabeled samples as dictionary atoms to construct each labeled sample, and obtain the collaborative coefficients by CR. The unlabeled sample with the largest collaborative coefficient is assigned the same class label as the reconstructed labeled sample, and is added to the labeled data set. This process is repeated until about half of the unlabeled samples are labeled and added to the labeled dataset. After that, we employ the original CR approach to classify the left unlabeled samples based on the newly labeled dataset. Experimental results demonstrate that the proposed TSCR is effective on face recognition. (C) 2016 Elsevier Inc. All rights reserved.
机译：本文将协作表示（CR）技术引入小样本量条件，并提出了一种基于协作表示（TSCR）的两阶段学习方法来进行人脸识别。基于相同类别的样本应位于相同子空间的假设，我们首先使用未标记样本作为字典原子来构造每个标记样本，并通过CR获得协同系数。具有最大协作系数的未标记样本被分配与重构的标记样本相同的类别标记，并将其添加到标记数据集。重复该过程，直到大约一半的未标记样本被标记并添加到标记的数据集中。之后，我们使用原始的CR方法根据新标记的数据集对左侧未标记的样本进行分类。实验结果表明，提出的TSCR在人脸识别方面是有效的。 （C）2016 Elsevier Inc.保留所有权利。

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  • 作者

    Dong Xiao; Zhang Huaxiang; Sun Jiande; Wan Wenbo;

  • 作者单位

    Shandong Normal Univ, Sch Informat Sci & Engn, Jinan 250014, Shandong, Peoples R China;

    Shandong Normal Univ, Sch Informat Sci & Engn, Jinan 250014, Shandong, Peoples R China|Shandong Normal Univ, Inst Data Sci & Technol, Jinan 250014, Shandong, Peoples R China;

    Shandong Normal Univ, Sch Informat Sci & Engn, Jinan 250014, Shandong, Peoples R China|Shandong Normal Univ, Inst Data Sci & Technol, Jinan 250014, Shandong, Peoples R China;

    Shandong Normal Univ, Sch Informat Sci & Engn, Jinan 250014, Shandong, Peoples R China|Shandong Normal Univ, Inst Data Sci & Technol, Jinan 250014, Shandong, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Collaborative representation; Collaborative coefficient; Face recognition; Small sample size;

    机译：协同表示;协同系数;人脸识别;样本量小;

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