[1]TENENBAUM J B,de SILVA V,LANGFORD J C.A global geometric framework for nonlinear dimensionality reduction [J].Science,2000,290(5500):2319-2323.[2]ROWEIS S T,SAUL L K.Nonlinear dimensionality reduction by locally linear embedding [J].Science,2000,290(5500):2323-2326.[3]BELKIN M,NIYOGI P.Laplacian eigenmaps for dimensionality reduction and data representation [J].Neural Computation,2003,15(6):1373-1396.[4]ZHANG Z,ZHA H.Principal manifolds and nonlinear dimensionality reduction via local tangent space alignment [J].SIAM Journal of Scientific Computing,2004,26(1):313-338.[5]HINTON G E,SALAKHUTDINOV R R.Reducing the dimensionality of data with neural networks [J].Science,2006,313(5786):504-507.[6]de SILVA V,TENENBAUM J B.Global versus local methods in nonlinear dimensionality reduction [C]// Proceedings of the 6th Annual Conference on Neural Information Processing Systems.Cambridge:MIT Press,2003:705-712.[7]TENKINS C O,MATARIC J M.A spatio-temporal extension to ISOMAP nonlinear dimension reduction [C]// ICML'04:Proceedings of the 21st International Conference on Machine Learning.New York:ACM Press,2004:441-448.[8]ZENG X,LUO S,WANG J.Auto-associative neural network system for recognition [C]// ICMLC '07:Proceedings of the 6th International Conference on Machine Learning and Cybernetics.Piscataway,NJ:IEEE Press,2007:2885-2890.[9]ERHAN D,PIERRE-ANTOINE M,BENGIO Y,et al.The difficulty of training deep architectures and the effect of unsupervised pre-training [C]// AISTATS'09:Proceedings of the 12th International Conference on Artificial Intelligence and Statistics.Clearwater:JMLR,2009:153-160.[10]胡昭华,宋耀良.基于Autoencoder网络的数据降维与重构[J].电子与信息学报,2009,31(5):1189-1192.[11]黄伟,刘战民,薛丹,等.基于流形学习的聚类方法在基因芯片表达谱分析中的应用[J].中国生物医学工程学报,2010,29(1):77-85.[12]王宇杰,肖俊,魏宝刚.基于非线性流形学习的3维人体运动合成[J].中国图象图形学报,2010,15(6):936-943.[13]王伟,毕笃彦,熊磊,等.基于稀疏流形学习的SAR图像识别[J].电子学报,2010,38(11):2540-2544.[14]SHI L,GU J.A fast manifold learning algorithm [J].Information Technology Journal,2012,11(3):380-383.[15]ZHANG Z,WANG J,ZHA H.Adaptive manifold learning [J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2012,34(2):253-265.[16]陈绍荣,王宏强,黎湘,等.一种新的黎曼流形学习方法[J].南京大学学报:自然科学,2012,48(1):108-114.[17]LEE J A,LENDASSE A,VERLEYSEN M.Curvilinear distance analysis versus ISOMAP [C]// ESANN'02:Proceedings of European Symposium on Artificial Neural Networks.Bruges,Belgium:d-side public,2002:185-192.[18]SHI L,YANG Q,XU Y,et al.A model of selecting the parameters based on the variance of distance ratios for manifold learning algorithms [C]// FSKD'09:Proceedings of the 6th International Conference on Fuzzy Systems and Knowledge Discovery.Piscataway,NJ:IEEE Press,2009:507-512. |