Computer Science ›› 2017, Vol. 44 ›› Issue (Z6): 229-231.doi: 10.11896/j.issn.1002-137X.2017.6A.052
Previous Articles Next Articles
PAN Xiang and WANG Heng
| [1] 马俊莉,莫玉龙,王明祥.一种基于改进模板匹配的车牌字符识别方法[J].小型微型计算机系统,2003,24(9):1670-1672. [2] 张宏烈.支持向量机在字符识别中的应用研究[J].微计算机信息,2006,22(4Z):245-247. [3] 张可,张高燕,吴苏,等.基于BP神经网络的字符识别系统[J].计算机与现代化,2009(1):63-65. [4] 谢永祥,董兰芳.复杂背景下基于HSV空间和模板匹配的车牌识别方法研究[J].图学学报,2014,35(4):585-589. [5] 洪涛,梁伟建,卢玉凤.标牌粘连字符自适应定位分割重建与识别[J].中国图象图形学报,2014,19(6):886-895. [6] 费继友,谢金路,李花,等.基于字符特征约束的自适应车牌校正提取[J].仪器仪表学报,2016,37(3):632-639 [7] BENGIO Y.Learning Deep Architectures for AI[J].Foundations & Trends in Machine Learning,2009,2(1):1-127. [8] CUN Y L,BOSER B,DENKER J S,et al.Handwritten digit recognition with a back-propagation network[J]∥ Advances in Neural Information Processing Systems,1989,2:396-404. [9] HINTON G E,SALAKHUTDINOV R R.Reducing the Dimensionality of Data with Neural Networks[J].Science,2006,313(5786):504-507. [10] DAHL J V,KOCH K C,KLEINHANS E,et al.Convolutional networks and applications in vision[C]∥IEEE International Symposium on Circuits & Systems.IEEE,2010:253-256. [11] LECUN Y,BOSER B,DENKER J S,et al.Backpropagation applied to handwritten zip code recognition[J].Neural Computation,1989,1(4):541-551. [12] LCUN Y,BOTTOU L,BENGIO Y,et al.Gradient-basedlearning applied to document recognition[J].Proceedings of the IEEE,1998,86(11):2278-2324. [13] SERMANET P,CHINTALA S,LECUN Y.Convolutional neural networks applied to house numbers digit classification[C]∥International Conference on Pattern Recognition.IEEE,2012:3288-3291. [14] DENG H,STATHOPOULS G,SUEN C Y.Error-CorrectingOutput Coding for the Convolutional Neural Network for Optical Character Recognition[C]∥International Conference on Document Analysis and Recognition.IEEE Computer Society,2009:581-585. [15] KRIZHEVSKY A,SUTSKEVER I,HINTON G E.ImageNet Classification with Deep Convolutional Neural Networks[J].Advances in Neural Information Processing Systems,2012,25(2):1097-1105. [16] DENG J,DONG W,SOCHER R,et al.ImageNet:A large-scale hierarchical image database[C]∥Computer Vision and Rattern Recognition,2009.IEEE,2009:248-255. [17] RUSSAKOVSKY O,DENG J,SU H,et al.ImageNet LargeScale Visual Recognition Challenge[J].International Journal of Computer Vision,2015,115(3):1-42. [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(1):106-154. [19] GLOROT X,BENGIO Y.Understanding the difficulty of trai-ning deep feedforward neural networks[J].Journal of Machine Learning Research,2010,9:249-256. [20] DAHL G E,SAINATH T N,HINTON G E.Improving deep neural networks for LVCSR using rectified linear units and dropout[C]∥ IEEE International Conference on Acoustics,Speech and Signal Processing.IEEE,2013:8609-8613. [21] GLOROT X,BORDES A,BENGIO Y.Deep Sparse RectifierNetworks[C]∥ Proceeding of the 14th International Congfe-rence on Artificial Intelligence and Staticstics.2011:315-323. [22] HINTON G E.How neural networks learn from experience[J].Scientific American,1992,267(3):144-151. [23] BOURIE J.Notes on Convolutional Neural Networks[R].Massachusetts:Center for Biological and Computational Learning,2006:38-44. [24] CHANG C,LIN C,et al.LIBSVM:A library for support vector machines[J].Acm Transactions on Intelligent Systems & Technology,2011,2(3):389-396. |
| No related articles found! |
|
||
Home