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·226· 智能系统学报 第16卷 cessing,.2018,27(6):2791-2805 ant Dictionary Learning and Salient Feature Extraction[J]. [2]ZHANG Ni,YAN Yan,CHEN Si,et al.Multi-label learn- Journal of Chinese Computer Systems,2017(9). ing based deep transfer neural network for facial attribute [13]YANG Meng,ZHANG Lei,FENG Xiangchu,et al classification[J].Pattern recognition,2018,80:225-240. Sparse representation based fisher discrimination diction- [3]冉鹏,王灵,李昕,等.改进Softmax分类器的深度卷积 ary learning for image classification[J].International 神经网络及其在人脸识别中的应用).上海大学学报 journal of computer vision,2014,109(3):209-232. (自然科学版),2018,243):352-366. [14]WRIGHT J.YANG A Y.GANESH A.et al.Robust face RAN Peng,WANG Ling,LI Xin,et al.Improved Softmax recognition via sparse representation[J].IEEE transac- classifier for deep convolution neural networks and its ap- tions on pattern analysis and machine intelligence,2009, plication in face recognition[J].Journal of Shanghai Uni- 31(2):210-227 versity (Natural Science),2018,24(3):352-366. [15]SPRECHMANN P,SAPIRO G.Dictionary learning and [4]AHARON M.ELAD M.BRUCKSTEIN A.K-SVD:an al- sparse coding for unsupervised clustering[C]//Proceed- gorithm for designing overcomplete dictionaries for sparse ings of 2010 IEEE International Conference on Acoustics. representation[J].IEEE transactions on signal processing, Speech and Signal Processing.Dallas,TX,USA,2010: 2006,5411):4311-4322. 2042-2045. [5]YANG Meng,CHANG Heyou,LUO Weixin.Discriminat- [16]RAMIREZ I,SPRECHMANN P,SAPIRO G.Classifica- ive analysis-synthesis dictionary learning for image classi- tion and clustering via dictionary learning with structured fication[J].Neurocomputing,2017,219:404-411. incoherence and shared features[C]//Proceedings of 2010 [6]SHEKHAR S,PATEL V M,CHELLAPPA R.Analysis IEEE Computer Society Conference on Computer Vision sparse coding models for image-based classification[Cl// and Pattern Recognition.San Francisco,CA,USA,2010. Proceedings of 2014 IEEE International Conference on Im- [17]YANG Meng,ZHANG Lei,FENG Xiangchu,et al.Fish- age Processing.Paris,France,2015. er discrimination dictionary learning for sparse represent- [7]WU Fei,JING Xiaoyuan,YOU Xinge,et al.Multi-view ation[C]//Proceedings of 2011 IEEE International Confer- low-rank dictionary learning for image classification[J]. ence on Computer Vision (ICCV).Barcelona,Spain, Pattern recognition,2016,50:143-154. 2011:543-550. [8]ZHANG Qiang,LI Baoxin.Discriminative K-SVD for dic- [18]王威,朱宗玖,陆俊.基于字典学习和局部约束的稀疏 tionary learning in face recognition[C]//Proceedings of 表示人脸识别[].电脑知识与技术,2018,14(5): 2010 IEEE Computer Society Conference on Computer 200-202. Vision and Pattern Recognition.San Francisco,CA,USA, WANG Wei,ZHU Zongjiu,LU Jun.Sparse representa- 2010. tion for face recognition based on dictionary learning and [9]JIANG Zhuolin,LIN Zhe,DAVIS L S.Label consistent K- locality constraint[J].Computer knowledge and techno- SVD:learning a discriminative dictionary for 1ogy,2018,14(5):200-202 recognition[J].IEEE transactions on pattern analysis and [19]黎明,彭秀姣,王艳.基于改进的字典学习与稀疏表示 machine intelligence,2013,35(11):2651-2664. 的人脸表情识别円.系统仿真学报,2018.30(1少28-35 [10]MAIRAL J,BACH F,PONCE J,et al.Discriminative 44 learned dictionaries for local image analysis[Cl//Proceed- LI Ming,PENG Xiujiao,WANG Yan.Facial expression ings of 2008 IEEE Conference on Computer Vision and recognition based on improved dictionary learning and Pattern Recognition.Anchorage,AK,USA,2008. sparse representation[J].Journal of system simulation, [11]CASTRODAD A,SAPIRO G.Sparse modeling of hu- 2018,30(1):28-35,44. man actions from motion imagery[J].International journ- [20]DENG Weihong,HU Jiani,GUO Jun.Extended SRC:un- al of computer vision,2012,100(1):1-15. dersampled face recognition via intraclass variant diction- [12]王念兵,吴秦,梁久祯,等.变化字典学习与显著特征提 ary[J].IEEE transactions on pattern analysis and machine 取的单样本人脸识别[J】.小型微型计算机系统, intelligence,2012,34(9):1864-1870. 2017(9) [21]LI Wenjing,LIANG Jiuzhen,WU Qin,et al.An efficient WANG Nian-bing,WU Qin,LIANG Jiu-zhen,XU Jie, face classification method based on shared and class-spe- ZHANG Huai.Single Sample Face Recognition via Vari- cific dictionary learning[C]//Proceedings of 2015 IEEEcessing, 2018, 27(6): 2791–2805. ZHANG Ni, YAN Yan, CHEN Si, et al. Multi-label learn￾ing based deep transfer neural network for facial attribute classification[J]. Pattern recognition, 2018, 80: 225–240. [2] 冉鹏, 王灵, 李昕, 等. 改进 Softmax 分类器的深度卷积 神经网络及其在人脸识别中的应用 [J]. 上海大学学报 (自然科学版), 2018, 24(3): 352–366. RAN Peng, WANG Ling, LI Xin, et al. Improved Softmax classifier for deep convolution neural networks and its ap￾plication in face recognition[J]. Journal of Shanghai Uni￾versity (Natural Science), 2018, 24(3): 352–366. [3] AHARON M, ELAD M, BRUCKSTEIN A. K-SVD: an al￾gorithm for designing overcomplete dictionaries for sparse representation[J]. IEEE transactions on signal processing, 2006, 54(11): 4311–4322. [4] YANG Meng, CHANG Heyou, LUO Weixin. Discriminat￾ive analysis-synthesis dictionary learning for image classi￾fication[J]. Neurocomputing, 2017, 219: 404–411. [5] SHEKHAR S, PATEL V M, CHELLAPPA R. Analysis sparse coding models for image-based classification[C]// Proceedings of 2014 IEEE International Conference on Im￾age Processing. Paris, France, 2015. [6] WU Fei, JING Xiaoyuan, YOU Xinge, et al. Multi-view low-rank dictionary learning for image classification[J]. Pattern recognition, 2016, 50: 143–154. [7] ZHANG Qiang, LI Baoxin. Discriminative K-SVD for dic￾tionary learning in face recognition[C]//Proceedings of 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Francisco, CA, USA, 2010. [8] JIANG Zhuolin, LIN Zhe, DAVIS L S. Label consistent K￾SVD: learning a discriminative dictionary for recognition[J]. IEEE transactions on pattern analysis and machine intelligence, 2013, 35(11): 2651–2664. [9] MAIRAL J, BACH F, PONCE J, et al. Discriminative learned dictionaries for local image analysis[C]//Proceed￾ings of 2008 IEEE Conference on Computer Vision and Pattern Recognition. Anchorage, AK, USA, 2008. [10] CASTRODAD A, SAPIRO G. Sparse modeling of hu￾man actions from motion imagery[J]. International journ￾al of computer vision, 2012, 100(1): 1–15. [11] 王念兵, 吴秦, 梁久祯, 等. 变化字典学习与显著特征提 取的单样本人脸识别 [J]. 小型微型计算机系统, 2017(9). WANG Nian-bing, WU Qin, LIANG Jiu-zhen, XU Jie, ZHANG Huai. Single Sample Face Recognition via Vari- [12] ant Dictionary Learning and Salient Feature Extraction[J]. Journal of Chinese Computer Systems, 2017(9). YANG Meng, ZHANG Lei, FENG Xiangchu, et al. Sparse representation based fisher discrimination diction￾ary learning for image classification[J]. International journal of computer vision, 2014, 109(3): 209–232. [13] WRIGHT J, YANG A Y, GANESH A, et al. Robust face recognition via sparse representation[J]. IEEE transac￾tions on pattern analysis and machine intelligence, 2009, 31(2): 210–227. [14] SPRECHMANN P, SAPIRO G. Dictionary learning and sparse coding for unsupervised clustering[C]//Proceed￾ings of 2010 IEEE International Conference on Acoustics, Speech and Signal Processing. Dallas, TX, USA, 2010: 2042−2045. [15] RAMIREZ I, SPRECHMANN P, SAPIRO G. Classifica￾tion and clustering via dictionary learning with structured incoherence and shared features[C]//Proceedings of 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Francisco, CA, USA, 2010. [16] YANG Meng, ZHANG Lei, FENG Xiangchu, et al. Fish￾er discrimination dictionary learning for sparse represent￾ation[C]//Proceedings of 2011 IEEE International Confer￾ence on Computer Vision (ICCV). Barcelona, Spain, 2011: 543−550. [17] 王威, 朱宗玖, 陆俊. 基于字典学习和局部约束的稀疏 表示人脸识别 [J]. 电脑知识与技术, 2018, 14(5): 200–202. WANG Wei, ZHU Zongjiu, LU Jun. Sparse representa￾tion for face recognition based on dictionary learning and locality constraint[J]. Computer knowledge and techno￾logy, 2018, 14(5): 200–202. [18] 黎明, 彭秀姣, 王艳. 基于改进的字典学习与稀疏表示 的人脸表情识别 [J]. 系统仿真学报, 2018, 30(1): 28–35, 44. LI Ming, PENG Xiujiao, WANG Yan. Facial expression recognition based on improved dictionary learning and sparse representation[J]. Journal of system simulation, 2018, 30(1): 28–35, 44. [19] DENG Weihong, HU Jiani, GUO Jun. Extended SRC: un￾dersampled face recognition via intraclass variant diction￾ary[J]. IEEE transactions on pattern analysis and machine intelligence, 2012, 34(9): 1864–1870. [20] LI Wenjing, LIANG Jiuzhen, WU Qin, et al. An efficient face classification method based on shared and class-spe￾cific dictionary learning[C]//Proceedings of 2015 IEEE [21] ·226· 智 能 系 统 学 报 第 16 卷
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