[1]蒋斌,贾克斌,杨国胜. 人脸表情识别的研究进展[J]. 计算机科学, 2011,38(4):25-31.
[2]Bengio Y. Learning deep architectures for AI[J]. Foundations and Trends R in Machine Learning, 2009,2(1):1-127.
[3]Hinton G E, Salakhutdinov R R. Reducing the dimensionality of data with neural networks[J]. Science, 2006,313(5786):504-507.
[4]Bengio Y, Lamblin P, Popovici D, et al. Greedy layerwise training of deep networks[C]. //Proceedings of the 20th Annual Conference on Neural Information Processing Systems. 2007:153-160.
[5]Rifai S, Bengio Y, Courville A, et al. Disentangling factors of variation for facial expression recognition[C]// Proceedings of the 12th European Conference on Computer Vision. 2012:808-822.
[6]Zhu Zhenyao, Luo Ping, Wang Xiaogang,et al. Deep learning identitypreserving face space[C]// Proceedings of 2013 IEEE Transaction International Conference on Computer Vision(ICCV). 2013(12):113-120.
[7]Sun Yi, Wang Xiaogang, Tang Xiaoou. Deep learning face representation from predicting 10,000 classes[C]// Proceedings of 2014 IEEE Computer Society Conference on Computer Vision and Patter Recognition (CVPR). 2014:1891-1898.
[8]Sun Yi, Wang Xiaogang, Tang Xiaoou. Deep learning face representation by joint identificationverification[R]// Proceedings of IEEE Computer Society Conference on Computer Vision and Patter Recognition (CVPR). 2014.
[9]Liu Ping, Han Shizhong, Meng Zibo, et al. Facial expression recognition via a boosted deep belief network[C]// Proceedings of 2014 IEEE Computer Society Conference on Computer Vision and Patter Recognition(CVPR). 2014:1805-1812.
[10]Chen Dong, Cao Xudong,Wang Liwei, et al. Bayesian face revisited: A joint formulation[C]//Proceedings of the 12th European Conference on Computer Vision(ECCV). 2012(7574):566-579.
[11]Liu D C, Nocedal J. On the limited memory method for large scale optimization[J]. Mathematical Programming, 1989,45:503-528.
[12]Nocedal J. Updating quasinewton matrices with limited storage[J]. Mathematics of Computation, 1980,35:773-782.
[13]Zheng Wenming, Zhou Xiaoyan, Zou Cairong, et al. Facial expression recognition using kernel canonical correlation analysis(KCCA)[J]. IEEE Transactions on Neural Networks, 2006,17(1):233-238.
|