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第3期 莫宏伟，等：基于迁移学习的无监督跨域人脸表情识别 ·405· [9]BACCOUCHE M,MAMALET F,WOLF C,et al.Spatio- European Conference on Computer Vision.Heraklion, temporal convolutional sparse auto-encoder for sequence Crete,Greece:Springer-Verlag,2010:566-579. classification[C]//Proceedings of the of British Machine [20]QIU Qiang,PATEL V M,TURAGA P,et al.Domain ad- Vision Conference.Guildford,UK:BMVA Press,2012:12. aptive dictionary learning[C]//Proceedings of the 12th [10]WANG Hua,NIE Feiping.HUANG Heng,et al.Dyadic European Conference on Computer Vision.Florence, transfer learning for cross-domain image classifica- Italy:Springer-Verlag,2012:631-645. tion[C]//IEEE International Conference on Computer Vis- [21]DAI Wenyuan,YANG Qiang,XUE Guirong,et al. ion.Barcelona,Spain:IEEE,2011:551-556 Boosting for transfer learning[C]//Proceedings of the 24th [11]LUO Jie,TOMMASI T,CAPUTO B.Multiclass transfer International Conference on Machine Learning.Corvalis, learning from unconstrained priors[C]//IEEE Internation- USA:ACM,2007:193-200. al Conference on Computer Vision.Barcelona,Spain: [22]PAN S J,TSANG I W,KWOK J T,et al.Domain adapta- IEEE,2011:1863-1870. tion via transfer component analysis[J].IEEE transac- [12]ROY S D.MEI Tao,ZENG Wenjun,et al.SocialTrans- tions on neural networks,2011,22(2):199-210. fer:cross-domain transfer learning from social streams for [23]GONG Boqing,SHI Yuan,SHA Fei,et al.Geodesic flow media applications[Cl//Proceedings of the 20th ACM in- kernel for unsupervised domain adaptation[C]//Proceed- ternational conference on Multimedia.Nara,Japan:ACM, ings of the 2012 IEEE Conference on Computer Vision 2012:649-658 and Pattern Recognition.Providence,USA:IEEE [13]WANG Shuhui,JIANG Shuqiang,HUANG Qingming,et 2012:2066-2073 al.Multi-feature metric learning with knowledge transfer [24]ZHONG Erheng,FAN Wei,PENG Jing,et al.Cross do- among semantics and social tagging[C]//Proceedings of main distribution adaptation via kernel mapping[C /Pro- 2012 IEEE Conference on Computer Vision and Pattern ceedings of the 15th ACM SIGKDD International Confer- Recognition.Providence:IEEE,2012:2240-2247. ence on Knowledge Discovery and Data Mining.Paris, [14]AYTAR Y,ZISSERMAN A.Tabula rasa:model transfer France:ACM,2009 for object category detection[C]//Proceedings of 2011 In- [25]BRUZZONE L,MARCONCINI M.Domain adaptation ternational Conference on Computer Vision.Barcelona, problems:A DASVM classification technique and a cir- Spain:EEE,2011:2252-2259. cular validation strategy[J].IEEE transactions on pattern [15]GOPALAN R,LI Ruonan,CHELLAPPA R.Domain ad- analysis and machine intelligence,2010,32(5):770-787. aptation for object recognition:an unsupervised [26]QUANZ B,HUAN J,MISHRA M.Knowledge transfer approach[C]//2011 International Conference on Com- with low-quality data:A feature extraction issue[J].IEEE puter Vision.Barcelona,Spain:IEEE,2011:999-1006. transactions on knowledge and data engineering,2012, [16]GUILLAUMIN M,FERRARI V.Large-scale knowledge 24(10):1789-1802. transfer for object localization in ImageNet[C]//Proceed- [27]LUCEY P,COHN J F,KANADE T,et al.The extended ings of 2012 IEEE Computer Vision and Pattern Recogni- Cohn-Kanade dataset (CK+):a complete dataset for ac- tion.Providence,USA:IEEE,2012:3202-3209 tion unit and emotion-specified expression[C]//Proceed- [17]LAMPERT C H,NICKISCH H,HARMELING S.Learn- ings of 2010 IEEE Computer Society Conference on ing to detect unseen object classes by between-class at- Computer Vision and Pattern Recognition-Workshops. tribute transfer[C]//2009 IEEE Conference on Computer San Francisco,USA:IEEE,2010:94-101. Vision and Pattern Recognition.Miami,USA:IEEE, [28]KANADE T,COHN J F,TIAN Yingli.Comprehensive 2009:951-958. database for facial expression analysis[C]//Proceedings of [18]JHUO I H,LIU D,LEE D T,et al.Robust visual domain the 4th IEEE International Conference on Automatic Face adaptation with low-rank reconstruction[C]//2012 IEEE and Gesture Recognition.Grenoble,France:IEEE.2020: Computer Vision and Pattern Recognition.Providence, 46-53. USA:IEEE,2012:2168-2175. [29]ZHAO Guoying,HUANG Xiaohua,TAINI M,et al.Fa- [19]LAMPERT C H,KROMER O.Weakly-paired maximum cial expression recognition from near-infrared videos[J]. covariance analysis for multimodal dimensionality reduc- Image and vision computing,2011,29(9):607-619. tion and transfer learning[C]//Proceedings of the 11th [30]HUANG J,GRETTON A,BORGWARDT K,et al.Cor-BACCOUCHE M, MAMALET F, WOLF C, et al. Spatiotemporal convolutional sparse auto-encoder for sequence classification[C]//Proceedings of the of British Machine Vision Conference. Guildford, UK: BMVA Press, 2012:12. [9] WANG Hua, NIE Feiping, HUANG Heng, et al. Dyadic transfer learning for cross-domain image classification[C]//IEEE International Conference on Computer Vision. Barcelona, Spain: IEEE, 2011:551−556. [10] LUO Jie, TOMMASI T, CAPUTO B. Multiclass transfer learning from unconstrained priors[C]//IEEE International Conference on Computer Vision. Barcelona, Spain: IEEE, 2011:1863−1870. [11] ROY S D, MEI Tao, ZENG Wenjun, et al. SocialTransfer: cross-domain transfer learning from social streams for media applications[C]//Proceedings of the 20th ACM international conference on Multimedia. Nara, Japan: ACM, 2012:649−658. [12] WANG Shuhui, JIANG Shuqiang, HUANG Qingming, et al. Multi-feature metric learning with knowledge transfer among semantics and social tagging[C]//Proceedings of 2012 IEEE Conference on Computer Vision and Pattern Recognition. Providence: IEEE, 2012:2240−2247. [13] AYTAR Y, ZISSERMAN A. Tabula rasa: model transfer for object category detection[C]//Proceedings of 2011 International Conference on Computer Vision. Barcelona, Spain: IEEE, 2011:2252−2259. [14] GOPALAN R, LI Ruonan, CHELLAPPA R. Domain adaptation for object recognition: an unsupervised approach[C]//2011 International Conference on Computer Vision. Barcelona, Spain: IEEE, 2011:999−1006. [15] GUILLAUMIN M, FERRARI V. Large-scale knowledge transfer for object localization in ImageNet[C]//Proceedings of 2012 IEEE Computer Vision and Pattern Recognition. Providence, USA: IEEE, 2012:3202−3209. [16] LAMPERT C H, NICKISCH H, HARMELING S. Learning to detect unseen object classes by between-class attribute transfer[C]//2009 IEEE Conference on Computer Vision and Pattern Recognition. Miami, USA: IEEE, 2009:951−958. [17] JHUO I H, LIU D, LEE D T, et al. Robust visual domain adaptation with low-rank reconstruction[C]//2012 IEEE Computer Vision and Pattern Recognition. Providence, USA: IEEE, 2012:2168−2175. [18] LAMPERT C H, KRÖMER O. Weakly-paired maximum covariance analysis for multimodal dimensionality reduction and transfer learning[C]//Proceedings of the 11th [19] European Conference on Computer Vision. Heraklion, Crete, Greece: Springer-Verlag, 2010:566−579. QIU Qiang, PATEL V M, TURAGA P, et al. Domain adaptive dictionary learning[C]//Proceedings of the 12th European Conference on Computer Vision. Florence, Italy: Springer-Verlag, 2012:631−645. [20] DAI Wenyuan, YANG Qiang, XUE Guirong, et al. Boosting for transfer learning[C]//Proceedings of the 24th International Conference on Machine Learning. Corvalis, USA: ACM, 2007:193−200. [21] PAN S J, TSANG I W, KWOK J T, et al. Domain adaptation via transfer component analysis[J]. IEEE transactions on neural networks, 2011, 22(2): 199–210. [22] GONG Boqing, SHI Yuan, SHA Fei, et al. Geodesic flow kernel for unsupervised domain adaptation[C]//Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition. Providence, USA: IEEE, 2012:2066−2073. [23] ZHONG Erheng, FAN Wei, PENG Jing, et al. Cross domain distribution adaptation via kernel mapping[C]//Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Paris, France: ACM, 2009. [24] BRUZZONE L, MARCONCINI M. Domain adaptation problems: A DASVM classification technique and a circular validation strategy[J]. IEEE transactions on pattern analysis and machine intelligence, 2010, 32(5): 770–787. [25] QUANZ B, HUAN J, MISHRA M. Knowledge transfer with low-quality data: A feature extraction issue[J]. IEEE transactions on knowledge and data engineering, 2012, 24(10): 1789–1802. [26] LUCEY P, COHN J F, KANADE T, et al. The extended Cohn-Kanade dataset (CK+): a complete dataset for action unit and emotion-specified expression[C]//Proceedings of 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition-Workshops. San Francisco, USA: IEEE, 2010: 94−101. [27] KANADE T, COHN J F, TIAN Yingli. Comprehensive database for facial expression analysis[C]//Proceedings of the 4th IEEE International Conference on Automatic Face and Gesture Recognition. Grenoble, France: IEEE, 2020: 46−53. [28] ZHAO Guoying, HUANG Xiaohua, TAINI M, et al. Facial expression recognition from near-infrared videos[J]. Image and vision computing, 2011, 29(9): 607–619. [29] [30] HUANG J, GRETTON A, BORGWARDT K, et al. Cor- 第 3 期 莫宏伟，等：基于迁移学习的无监督跨域人脸表情识别 ·405·