[1]文贵华,江丽君,文 军.局部测地距离估计的Hessian局部线性嵌入[J].智能系统学报,2008,3(5):429-435.
 WEN Gui-hua,J IANG L i-jun,WEN Jun.Using locally estimated geodesic distances to improve Hessian local linear embedding[J].CAAI Transactions on Intelligent Systems,2008,3(5):429-435.
点击复制

局部测地距离估计的Hessian局部线性嵌入

参考文献/References:
[ 1 ]TENENBAUM J B, De SILVA V, LANGFORD J C. A glob2 al geometric framework for nonlinear dimensionality reduction [ J ]. Science, 2000, 290 (12) : 231922323.
 [ 2 ]ROWEIS S T, SAUL L K. Nonlinear dimensionality reduc2 tion by locally linear embedding [ J ]. Science, 2000, 290 (12) : 231922323.
 [ 3 ]BELKIN M, N IYOGI P. Lap lacian eigenmap s for dimen2 sionality reduction and data rep resentation [ J ]. Neural Com2 puting, 2003, 15 (6) : 137321396.
[ 4 ]DONOHO D L, GR IMES C. Hessian eigenmap s: locally linear embedding, techniques for high2dimensional data[ J ]. PNAS, 2003, 100 (10) : 5912596.
[ 5 ]De R IDDER D, KOUROPTEVA O, OKUN O, et al. Super2 vised locally linear embedding [ C ] / /Artificial Neural Net2 works and Neural Information Processing. Istanbul, Turkey: Sp ringer, 2003: 3332341.
[ 6 ]KOUROPTEVA O, OKUN O, P IETIKA INEN M. Incremen2 tal locally linear embedding[ J ]. Pattern Recognition, 2005, 38 (10) : 1764217671
[ 7 ]De R IDDER D, LOOGM, REINDERSM J T. Local fisher embedding[C ] / /Proceedings of the 17 th International Con2 ference on Pattern Recognition. [ S. l. ] , 2004: 29522981
 [ 8 ]CHANG Hong, YENG Dityan. Robust locally linear embed2 ding[ J ]. Pattern Recognition, 2000, 39 (6) : 105321065.
[ 9 ]YANGL. Building k2connected neighborhood graphs for iso2 metric data embedding[ J ]. IEEE Transactions on Pattern A2 nalysis andMachine Intelligence, 2006, 28 (5) : 8272831.
[ 10 ]YANG L. Building connected neighborhood graphs for lo2 cally linear embedding[ C ] / /18 th International Conference on Pattern Recognition. Hong Kong, China, 2006: 16802 1683.
 [ 11 ]VAR IN I C, DEGENHARD A, NATTKEMPER T W.   ISOLLE: LLE with geodesic distance[ J ]. Neurocomputing, 2006, 69 (15) : 176821771.
 [ 12 ]王和勇,郑 杰,姚正安,李 磊. 基于聚类和改进距离的LLE方法在数据降维中的应用[ J ]. 计算机研究与发展, 2006, 43 (8) : 148521490.
 WANG Heyong, ZHENG J ie, YAO Zhengan, L ILei. Ap2 p lication of dimension reduction on using imp roved LLE based on clustering[ J ]. Journal of Computer Research and Development, 2006, 43 (8) : 148521490.
[ 13 ]WEN Guihua, J IANG L ijun, WEN Jun, N IGEL R S. Clustering2based nonlinear dimensionality reduction on manifold [ C ] / /Lecture Notes in Artificial Intelligence (LNA I). Sp ringer, 2006: 4442453.
 [ 14 ]文贵华、江丽君,文 军. 基于邻域优化的局部线性嵌入 [ J ]. 系统仿真学报, 2007, 19 (13) : 311923122.
 WEN Guihua, J IANGL ijun, WEN Jun. Locally linear em2 bedding based on op timization of neighborhood [ J ]. Journal of System Simulation, 2007, 19 (13) : 311923122.
 [ 15 ]WEN Guihua, J IANGL ijun , N IGEL R S. Using graph al2 gebra to op timize neighborhood for Isometric mapp ing [C ] / /20 th International Joint Conference on Artificial In2 telligence ( IJCA I207). India, 2007: 239822403.
[ 16 ] SAMKO O, MARSHALL A D, ROSIN P L. Selection of the op timal parameter value for the Isomap algorithm [ J ]. Pattern Recognition Letters, 2006, 27 (9) : 9682979.
[ 17 ]文贵华,江丽君,文 军. 邻域参数动态变化的局部线性嵌入[ J ]. 软件学报, 2008, 19 (7) : 166621673.
WEN Guihua, J IANGL ijun, WEN Jun. Dynamically deter2 mining neighborhood parameter for locally linear embedding [ J ]. Journal of Software, 2008, 19 (7) : 166621673.
 [ 18 ]WEN Guihua, J IANG L ijun. Globalizing local neighbor2 hood for locally linear embedding [ C ] / /Proceedings of 2006 IEEE International Conference on System, Man and Cybernetics. Taibei, China, 2006: 349123496.
 [ 19 ]De R IDDER D,LOOGM, REINDERSM J T. Local fisher embedding [ C ] / /Proceedings of the 17 th International Conference on Pattern Recognition. Cambridge, UK, 2004: 2952298.
[ 20 ] HONG Chang, YEUND Yang. Robust locally linear em2 bedding[ J ]. Pattern Recognition, 2003, 39 ( 6 ) : 10532 1065
相似文献/References:
[1]徐 蓉,姜 峰,姚鸿勋.流形学习概述[J].智能系统学报,2006,1(1):44.
 XU Rong,JIANG Feng,YAO Hong-xun.Overview of manifold learning[J].CAAI Transactions on Intelligent Systems,2006,1():44.
[2]谢朝霞,穆志纯,谢建军.基于LLE的多姿态人耳识别[J].智能系统学报,2008,3(4):321.
 XIE Zhao-xia,MU Zhi-chun,XIE J ian-jun.Multi-pose ear recogn ition based on locally linear embedding[J].CAAI Transactions on Intelligent Systems,2008,3():321.
[3]刘? 琚,乔建苹.基于学习的超分辨率重建技术[J].智能系统学报,2009,4(3):199.
 LIU Ju,QIAO Jian-ping.Learningbased superresolution reconstruction[J].CAAI Transactions on Intelligent Systems,2009,4():199.
[4]谈超,关佶红,周水庚.增量与演化流形学习综述[J].智能系统学报,2012,7(5):377.
 TAN Chao,GUAN Jihong,ZHOU Shuigeng.Incremental and evolutionary manifold learning: a survey[J].CAAI Transactions on Intelligent Systems,2012,7():377.
[5]练浩,曾宪华,李淑芳.有监督全局流形排序的图像检索算法[J].智能系统学报,2014,9(1):92.[doi:10.3969/j.issn.1673-4785.201303021]
 LIAN Hao,ZENG Xianhua,LI Shufang.Supervised global manifold ranking based image retrieval algorithm[J].CAAI Transactions on Intelligent Systems,2014,9():92.[doi:10.3969/j.issn.1673-4785.201303021]
[6]张钢,谢晓珊,黄英,等.面向大数据流的半监督在线多核学习算法[J].智能系统学报,2014,9(3):355.[doi:10.3969/j.issn.1673-4785.201403067]
 ZHANG Gang,XIE Xiaoshan,HUANG Ying,et al.An online multi-kernel learning algorithm for big data[J].CAAI Transactions on Intelligent Systems,2014,9():355.[doi:10.3969/j.issn.1673-4785.201403067]
[7]程旸,王士同.基于局部保留投影的多可选聚类发掘算法[J].智能系统学报,2016,11(5):600.[doi:10.11992/tis.201508022]
 CHENG Yang,WANG Shitong.A multiple alternative clusterings mining algorithm using locality preserving projections[J].CAAI Transactions on Intelligent Systems,2016,11():600.[doi:10.11992/tis.201508022]
[8]徐慧敏,陈秀宏.图正则化稀疏判别非负矩阵分解[J].智能系统学报,2019,14(6):1217.[doi:10.11992/tis.201811021]
 XU Huimin,CHEN Xiuhong.Graph-regularized, sparse discriminant, non-negative matrix factorization[J].CAAI Transactions on Intelligent Systems,2019,14():1217.[doi:10.11992/tis.201811021]
[9]邓廷权,王强.半监督类保持局部线性嵌入方法[J].智能系统学报,2021,16(1):98.[doi:10.11992/tis.202003007]
 DENG Tingquan,WANG Qiang.Semi-supervised class preserving locally linear embedding[J].CAAI Transactions on Intelligent Systems,2021,16():98.[doi:10.11992/tis.202003007]
[10]余沁茹,卢桂馥,李华.自适应图正则化的低秩非负矩阵分解算法[J].智能系统学报,2022,17(2):325.[doi:10.11992/tis.202102007]
 YU Qinru,LU Guifu,LI Hua.Nonnegative low-rank matrix factorization with adaptive graph neighbors[J].CAAI Transactions on Intelligent Systems,2022,17():325.[doi:10.11992/tis.202102007]

备注/Memo

收稿日期: 2007-11-25.
基金项目:广东省科技攻关资助项目( 2007B030803006) ; 湖北省科技攻关资助项目(2005AA101C17)
作者简介:
文贵华, 男, 1968 年生,主要研究方向为创新计算、认知几何、机器学习与数据挖掘.
江丽君, 女, 1971 年生,主要研究方向为机器学习与图形CAD.
文 军, 男, 1964 年生,主要研究方向为创新计算与应用.
通信作者:文贵华. E-mail: crghwen@scut. edu. cn.

更新日期/Last Update: 2009-05-18
Copyright @ 《 智能系统学报》 编辑部
地址:(150001)黑龙江省哈尔滨市南岗区南通大街145-1号楼 电话:0451- 82534001、82518134