[1] Deng W,Hu J,Lu J,et al.Transform-Invariant PCA:A unified approach to fully automatic face alignment,representationand recognition[J].IEEE Trans onPattern Analysis and Machine Intelligence,2014,36(6):1275-1284.
[2] 周家锐,纪震,等.基于Gabor小波与Memetic算法的人脸识别方法[J].电子学报,2012,40(4):642-646. Zhou Jia-rui,Ji Zhen,et al.Face recognitionusingGabor wavelets and Memetic algorithm[J].Acta Electronica Sinica,2012,40(4):642-646.(in Chinese)
[3] 杨飞,苏剑波.人脸显性特征的融合构造方法及识别[J].电子学报,2012,40(3):466-471. Yang Fei,Su Jian-bo.Face recognition based on explicit facial features by fusion construction method[J].Acta Electronica Sinica,2012,40(3):466-471.(in Chinese)
[4] Braverman M.Poly-logarithmic independence fools bounded-depthbooleancircuits[J].Communications of the ACM,2011,54(4):108-115.
[5] Zhang H,Zhou F,Zhang W,et al.Real-time action recognition based on a modified Deep Belief Network model[A].International Conference on Information and Automation[C].Hailar,HulunBuir,Inner Mongolia,China:IEEE,2014.225-228.
[6] Ouyang W,Wang X,Zeng X,et al.Deepid-net:Deformable deep convolutional neural networks for object detection[A].Conference on Computer Vision and Pattern Recognition[C].Boston,MA,USA:IEEE,2015.2403-2412.
[7] BENGIO Y.Learning deep architectures for AI[J].Foundations and Trends in Machine Learning,2009,2(1):1-12.
[8] Bengio Y,Le Cun Y.Scaling learning algorithms towards AI[J].Large-Scale Kernel Machines,2007,34(5):321-359.
[9] Sun Y,Wang X,Tang X.Deep convolutional network cascade for facial point detection[A].Conference on Computer Vision and Pattern Recognition[C].Portland,OR,USA:IEEE,2013.3476-3483.
[10] Hinton G E,Osindero S,Teh Y W.A fast learning algorithm for deep belief nets[J].Neural Computation,2006,18(7):1527-1554.
[11] Taigman Y,Yang M,Ranzato M A,et al.Deepface:Closing the gap to human-level performance in face verification[A].Conference on Computer Vision and Pattern Recognition[C].Columbus,OH,USA:IEEE,2014.1701-1708.
[12] Deng J,Zhang Z,Marchi E,et al.Sparse autoencoder-based feature transfer learning for speech emotion recognition[A].Humaine Association Conference on Affective Computing andIntelligent Interaction[C].Geneva,Switzerland:IEEE,2013.511-516.
[13] Phan H T,Duong A T,Le N D H,et al.Hierarchical sparse autoencoder using linear regression-based features in clustering for handwritten digit recognition[A].International Symposium on Image and Signal Processing and Analysis[C].Melbourne,Australia:IEEE,2013.183-188.
[14] Zhang C,Zhang Z.Improving multiview face detection with multi-task deep convolutional neural networks[A].IEEE Winter Conference on Applications of Computer Vision[C].Steamboat Springs,CO,USA:IEEE,2014.1036-1041.
[15] Dahl G E,Yu D,Deng L,et al.Context-dependent pre-trained deep neural networks for large-vocabulary speech recognition[J].IEEE Transactions on Audio,Speech,and Language Processing,2012,20(1):30-42.
[16] Hinton G E,Salakhutdinov R R.Replicated softmax:an undirected topic model[A].Advances in Neural Information Processing Systems[C].Vancouver,BC,Canada:NIPS,2009.1607-1614.
[17] Heisele B,Ho P,Poggio T.Face recognition with support vector machines:Global versus component-based approach[A].International Conference on Computer Vision[C].Vancouver,Canada:IEEE,2001.688-694. |