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 XU Rong,JIANG Feng,YAO Hong-xun.Overview of manifold learning[J].CAAI Transactions on Intelligent Systems,2006,1(01):44-51.





Overview of manifold learning
徐 蓉姜 峰姚鸿勋
XU RongJIANG Feng YAO Hong-xun
School of Computer Science and Technology, Harbin Institute of Technology,Ha rbin 150001,China
dimensionality reductionmanifold learningIsomapLLEintersectin g manifold
As a new unsupervised learning method, manifold learning is capturing increasing interests of researchers in the field of machine learning and cogniti ve sciences. To understand manifold learning better, the topology concept of man ifold learning was presented firstly, and then its development history was trace d. Based on different representations of manifold, several major algo rithms were introduced, whose advantages and defects were pointed out resp ectively. After that , two kinds of typical applications of Isomap and LLE were indicated. The res ults show th at compared with traditional linear method, manifold learning can discover the in trinsic dimensions of nonlinear highdimensional data effectively, helping re searchers to reduce dimensionality and analyze data better. Finally the prospect of manifold learning was discussed, so as to extend the application area of man ifold learning.


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徐     蓉,女,1982年生,哈尔滨工业大学在读硕士研究生,主要研究方向为模式识别、机器学习、手语识别.
姜     峰,在职博士研究生,讲师.主要研究方向为模式识别、机器学习、自然人机交互技术、多媒体技术、数字版权保护等.
姚鸿勋,教授,博导.主要研究方向为自然人机交互技术、多媒体技术、图像处理及模式识别、信息隐藏与检测、数字版权保护、生物特征识别技术等.已发表学术论文60余篇,其中被SCI、EI、 ISTP检索收录30余篇,另获发明专利1项.
更新日期/Last Update: 2009-04-07