Computer Science ›› 2015, Vol. 42 ›› Issue (5): 28-33.doi: 10.11896/j.issn.1002-137X.2015.05.006
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GUO Li-li and DING Shi-fei
| [1] 丁世飞.人工智能[M].北京:清华大学出版社,2011 [2] 史忠值.神经网络[M].北京:高等教育出版社,2009 [3] Rumelhart D,Hinton G,Williams R.Learning representationsby back-propagating errors[J].Nature,1986,323(6088):533-536 [4] 余凯,贾磊,陈雨强.深度学习的昨天、今天和明天[J].计算机研究与发展,2013,50(9):1799-1804 [5] Hinton G,Salakhutdinov R.Reducing the dimensionality of data with neural networks[J].Science,2006,313(5786):504-507 [6] Ding Shi-fei,Zhang Yan-an,Chen Jin-rong,et al.Research onUsing Genetic Algorithms to Optimize Elman Neural Networks[J].Neural Computing and Applications,2013,23(2):293-297 [7] Ding Shi-fei,Jia Wei-kuan,Su Chun-yang,et al.Research ofNeural Network Algorithm Based on Factor Analysis and Cluster Analysis[J].Neural Computing and Applications,2011,20(2):297-302 [8] Lee T S,Mumford D.Hierarchical Bayesian inference in the vi-sual cortex[J].Optical Society of America,2003,20(7):1434-1448 [9] Serre T,Wolf L,Bileschi S,et al.Robust object recognition with cortex-like mechanisms[J].IEEE Trans on Pattern Analysis and Machine Intelligence,2007,29(3):411-426 [10] Lee T S,Mumford D,Romero R,et al.The role of the primary visual cortex in higher level vision[J].Vision Research,1998,38 (15):2429-2454 [11] Bengio Y.Learning deep architectures for AI[J].Foundations and Trends in Machine Learning,2009,2(1):1-127 [12] Bengio Y,LeCun Y.Scaling learning algorithms towards AI[M]∥Bottou L,Chapelle O,Decoste D,et al.Large-Scale Kernel Machines.Cambridge:MIT Press,2007:321-358 [13] 李海峰,李纯果.深度学习结构和算法比较分析[J].河北大学学报:自然科学版,2012,32(5):538-544 [14] Hinton G E.Learning distributed representations of concepts[C]∥Proc.of the 8th Annual Conference of the Cognitive ScienceSociety.1986:1-12 [15] 孙志军,薛磊,许阳明.深度学习研究综述[J].计算机应用研究,2012,29(8):2806-2810 [16] Bengio Y,Delalleau O.On the expressive power of deep architectures[C]∥Proceedings of the 22nd International Conference on Algorithmic Learning Theory.Berlin Heidelberg,2011:18-36 [17] Vincent P,Larochelle H,Lajoie I,et al.Stacked denoising autoencoders:learning useful representations in a deep network with a local denoising criterion[J].Journal of Machine Learning Research,2010,11(12):3371-3408 [18] Hubel D H,Wiesel T N.Receptive Fields,Binocular Interaction and Functional Architecture in the Cat’s Visual Cortex [J].Journal of Physiology,1962,160:106-154 [19] Fukushima K.Neocognition:A Self-Organizing Neural Network Model for a mechanism of Pattern Recognition Unaffected by Shift in Postion[J].Biological Cybermetics,1980,36:193-202 [20] LeCun Y,Bottou L,Bengio Y,et al.Granient-based learning applied to document recognition[J].Proceedings of IEEE,1988,6(11):2278-2324 [21] LeCun Y,Boser B,Denker J S,et al.Backpropagation Applied to Handwritten Zip Code Recognition[J].Neural Computation,1989,1(4):541-551 [22] Serre T,Keriman G,Kouch M.A Quantitative Theory of Immediate Visual Recognition” Progress in Brain Research,Computational Neuroscience[J].Theoretical Insights into Brain Function,2007,165:33-56 [23] LeCun Y,Kavukcuogl U K,Farabe C.Convolutional networksand applications in vision[Z].International Symposium on Circuits and Systems,Paris,2010 [24] Kwolek B.Face Detection Using Convolutional Neural Net-works And Gobor Filters[J].Artificial Neural Networks:Biological Inspirations,2005,3699:551-556 [25] Rosenblatt F.The Perceptron:A Probabilistic Model For Information Storage and Organization in the Brain[J].Psychological Review,1958,65:386-408 [26] Neubauer C.Shape,position and size invariant visual patternrecognition based on principles of neocognitron and perception in artificial neural networks[M].Netherlands:North Holland,1992:833-837 [27] Laserson J.From neural networks to deep learning:zeroing in on the human brain[J].ACM Crossroads Student Magazine,2011,18(1):29-34 [28] LeCun Y,Botton L,Bengio Y,et al.Gradient-based learning applied to document recognition[J].Proceedings of IEEE,1998,86(11):2278-2324 [29] Vincent P,Larochelle H,Bengio Y,et al.Extracting and composing robust features with denoising autoencoders[C]∥Proceedings of the 25th International Conference on Machine Learning (ICML’2008).New York:ACM Press,2008:1096-1103 [30] Huang Fu-jie,LeCun Y.Large-scale learning with SVM andconvolutional for generic object categorization [C]∥Proc.of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.Washington DC:IEEE Computer Society,2006:284-291 [31] 聂仁灿,姚绍文,周冬明.基于简化脉冲耦合神经网络的人脸识别[J].计算机科学,2014,41(2):297-301 [32] Simard P Y,Steinkraus D,Platt J C.Best Practice for Convolutional Neural Networks Applied to Visual Document Analysis[C]∥Seventh International Conference on Document Analysis and Recognition.2003:963-985 [33] Sukittanon S,Surendran A C,Burges C J C,et al.Convolutional Networks for speech Detection.http://131.107.65.14/pubs/68033/convnet_speechdetect.pdf [34] Chen Y,Han C,Wang C,et al.The application of a convolution neural network on face and license plate detection[C]∥18th International Conference on Pattern Recognition(ICPR).Hong Kong,China:IEEE Computer Society,2006:552-555 [35] 赵元庆,吴华.多尺度特征和神经网络相融合的手写体数字识别[J].计算机科学,2013,40(8):316-318 [36] Ji S,Xu W,Yang M,et al.3D Convolutional Neural Networks for Human Action Recognition[J].IEEE Transaction on Pattern Analysis and Machine Intelligence,2013,35(1):221-231 [37] Hinton G E.Distributed representations[R].Tech.Report,Uni-versity of Toronto,1984 [38] Hinton G E,Osindero S.A fast learning algorithm for deep belief nets[J].Neural Computation,2006,18:1527-1554 [39] Lawrence C E,Altschul S F,Boguski M S,et al.Detecting Subtle Sequence Signals:A Gibbs Sampling Strategy for Multiple Alignment[J].Science,1993,262:208-214 [40] Bishop C M.Pattern recognition and machine learning[M].New York:Springer,2006 [41] Hinton G E,Dayanp,Frey B,et al.The wake-sleep algorithm for unsupervised neural network[J].Science,1995,268:1158-1161 [42] Liu Yan,Zhou Shu-sen,Chen Qing-cai.Discriminative deep belief networks for visual data classification[J].Pattern Recognition,2010,44(10):2287-2296 [43] Yu Dong,Deng Li.Deep convex net:a scalable architecture for speech pattern classification[C]∥Proc.of the 12th Annual Conference of International Speech Communication Association.2011:2296-2299 [44] Zhou Shu-sen,Chen Qing-cai,Wang Xiao-long.Convolutional Deep Networks for Visual Data Classification[J].Neural Process Lett,2013,38:17-27 [45] Wong W K,Sun M M.Deep learning regularized fisher mappings[J].IEEE Transactions on Neural Networks,2011,22(10):1668-1675 [46] 孙志军,薛磊,许阳明.基于深度学的边际Fisher分析特征提取算法[J].电子与信息学报,2013,35(4):805-811 [47] Zhou Shu-sen,Chen Qing-cai,Wang Xiao-long.Active deeplearning method for semi-supervised sentiment classification[J].Neurocomputing,2013,120:536-546 [48] Tom A.Stanford algorithm analyzes sentence sentiment,ad-vances machine learning [N].Stanford University,2013 [49] Li Fei-fei,Fergus R,Perona P.Learning generative visual mo-dels from few training examples:an incremental Bayesian approach tested on 101 object categories[J].Computer Vision and Image Understanding,2004,106(1):59-70 [50] Hinton G E,Li Deng,Dong Yu,et al.Deep neural networks for acoustic modeling in speech recognition [J].IEEE Signal Processing Magazine,2012,29(6):82-97 [51] Markoff J.Scientists see promise in deep-learning programs[N].The New York Times,2012-11-23 [52] Bach F,Jenatton R,Obozinski G.Structured sparsity throughconvex optimization.http:arxiv.org/pdf.1109.2397/pdf [53] Bengio Y,Courville A,Vincent P.Representation Learning:AReview and New Perspectives[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2013,35(8):1798-1828 [54] Markoff J.How many computers to identify a cat?[N].The new York Times,2012-06-25 [55] 李彦宏.2012百度年会主题报告:相信技术的力量[R].北京:百度,2013 [56] 10 Breakthrough Technologies 2013 [N].MIT Technology Review,2013-04-2 |
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