[1]刘忠宝,王士同.从Parzen窗核密度估计到特征提取方法:新的研究视角[J].智能系统学报,2012,7(6):471-480.
 LIU Zhongbao,WANG Shitong.From Parzen window estimation to feature extraction: a new perspective[J].CAAI Transactions on Intelligent Systems,2012,7(6):471-480.
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从Parzen窗核密度估计到特征提取方法:新的研究视角

参考文献/References:
[1]WANG Qinghua, ZHANG Youyun, LEI Cai, et al. Fault diagnosis for diesel value trains based on nonnegative matrix factorization and neural network ensemble[J]. Mechanical Systems and Signal Processing, 2009, 23(5): 16831695.
[2]CAMACHO J, PIC J, FERRER A. Data understanding with PCA: structural and variance information plots[J]. Chemometrics and Intelligent Laboratory Systems, 2010, 100(1): 4856.
[3]LIPOVETSKY S. PCA and SVD with nonnegative loadings [J]. Pattern Recognition, 2009, 42(1): 6876.
[4]RADULOVIC J, RANKOVIC V. Feedforward neural network and adaptive networkbased fuzzy inference system in study of power lines[J]. Expert Systems with Applications, 2010, 37(1): 165170.
[5]PETER N B, JOAO P H, DAVID J K. Eigenfaces vs Fisherfaces: recognition using class specific linear projection[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 1997, 19(7): 711720.
[6]HU Y H, HE S H. Integrated evaluation method[M]. Beijing: Scientific Press, 2000: 2731.
[7]ROWEIS S T, SAUL L K. Nonlinear dimensionality reduction by locally linear embedding[J]. Science, 2000(290): 23232326.
[8]BELKIN M, IYOGI P. Laplacian eigenmaps and spectral techniques for embedding and clustering[C]// Systems (NIPS). Cambridge: MIT NIYOGI P Press, 2001: 585591.〖JP〗
[9]BORGA M, KNUTSSON H. Canonical correlation analysis in early vision[C]//Proceedings of the 9th European Symposium on Artificial Neural Networks. Bruges, Belgium, 2001: 309314.
[10]HE X F, NIYOGI P. Locality preserving projections[C]// Advances in Neural Information Processing Systems (NIPS). Vancouver, Canada, 2003: 153160.
[11]皋军, 王士同, 邓赵红. 广义的势支撑特征选择GPSFM[J].计算机研究与发展, 2009, 46(1): 4151. 
GAO Jun, WANG Shitong, DENG Zhaohong. Generalized potential support vector machine for feature selection[J]. Computer Research and Development, 2009, 46(1): 4151.
[12]王晓明, 王士同. 广义的监督局部保留投影算法[J]. 电子与信息学报, 2009, 31(8): 18401845.
WANG Xiaoming, WANG Shitong. Generalized supervised locality preserving projection algorithm[J]. Electronics and Information, 2009, 31(8): 18401845.
[13]王超, 王士同. 有局部保持的最大间距准则特征提取方法[J]. 模式识别与人工智能, 2009, 22(6): 898902.
 WANG Chao, WANG Shitong. Maximum margin and locality preserving feature selection method[J]. Artificial Intelligence and Pattern Recognition, 2009, 22(6): 898902.
[14]ODIOWEI P P, YI Cao. Nonlinear dynamic process monitoring using canonical variate analysis and kernel density estimations[J]. IEEE Trans on Industrial Informatics, 2010, 6(1): 3645.
[15]吴葛铭,霍剑青,王晓蒲.一种基于加权Parzen窗的聚类算法[J]. 中国科学技术大学学报, 2002, 32(5): 546551. 
WU Geming, HUO Jianqing, WANG Xiaopu. Weighted Parzen window based clustering[J]. Journal of Chinease University of Sciences and Technologies, 2002, 32(5): 546551.
[16]HE X F, YAN S C, HU Y X, et al. Face recognition using Laplacianfaces[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 2005, 27(3): 328340.
[17]CAMACHO J, PIC J, FERRER A. Data understanding with PCA: structural and variance information plots[J]. Chemometrics and Intelligent Laboratory Systems, 2010, 100(1): 4856.
[18]边肇祺, 张学工. 模式识别[M]. 2版.北京清华大学出版社, 2000: 130. [19]GUO Q C, CHANG X J, CHU H X. Meanshift of variable window based on the Epanechnikov kernel[C]//Proceedings of IEEE Int Conf on Mechatronics and Automation. Piscataway, USA, 2007: 23142319.
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备注/Memo

收稿日期:2012-05-14.
网络出版日期:2012-11-16.
基金项目:国家自然科学基金资助项目(61170122, 61272210). 
通信作者:刘忠宝.
E-mail:liu_zhongbao@hotmail.com.
作者简介:
刘忠宝,男,1981年生,博士,主要研究方向为模式识别、机器学习,发表学术论文数十篇.
王士同,男,1964年生,教授,博士生导师,主要研究方向为人工智能与机器学习.

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