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49篇 您的检索式:作者名="CELEBI E M"
    题名 作者 年代 出处 被引量
1Robust switching vector median filter for impulsive noise removal 显示文摘Celebi M E Aslandogan Y A 2008Journal of ElectronicImaging2008,14,04:1
2Robust switching vector median filter for impulsive noise removal显示文摘CELEBI M E ASLANDOGAN Y A 2008Journal of Electronic Imaging2008,14,7:1
3Nonlinear vector filtering for impulsive noise removal from color images 显示文摘Celebi M E Kingravi H A Aslandogan Y A 2007Journal of Electronic Imaging2007,16,03:1
4Nonlinear vector filtering for impulsive noise removal from color images显示文摘CELEBI M E KINGRAVI H A ASLANDOGAN Y A 2007Journal of Electronic Imaging2007,14,7:1
5Nonlinear vector filtering for impulsive noise removal from color images显示文摘Celebi M E Kingravi H A Aslandogan Y A 2007Journal of Electronic Imaging2007,14,7:1
6A comparative study of efficient initialization methods for the k-means clustering algorithm显示文摘Celebi M E Kingravi H A Vela P A 2013Expert Systems with Applications2013,40,1:1
7Robust Switching Vector Median Filter for Impulsive Noise Removal显示文摘Celebi M E Aslandogan Y A 2008Journal of Electronic Imaging2008,14,7:1
8Robust switching vector median filter for impulsive noise removal显示文摘Celebi M E Aslandogan Y A 2008Journal of Electronic Imaging2008,14,7:1
9A comparative study of efficient initialization methods for the k-means clustering algorithm 显示文摘Celebi M E Kingravi H A Vela P A 2013Expert Systems with Applications2013,40,1:1
10Deterministic Initialization of the K-Means Algorithm Using Hierarchical Clustering 显示文摘Celebi M E Kingavi H A 2012International Journal of Patiern Recognition and Artificial Intelligence2012,26,7:1
11Analysis of input-output clustering for determining centers of RBFNN显示文摘Uykan Z Guzelis C Celebi M E 2000IEEE Transactions on Neural Networks2000,11,4:1
12Distance measures for reduced ordering based vector filters显示文摘CELEBI M E 2009IET Image Processing2009,3,5:1
13Analysis of input-ouput clustering for determining centers of RBFN 显示文摘Uykan Z Guzelis C Celebi M E 2000IEEE Trans on Neural Networks2000,11,4:1
14A comparative study of efficient initialization methods for the k-means clustering algorithm显示文摘Celebi M E Kingravi H A Vela P A 2013Expert Systems with Applica- tions2013,40,1:1
15Horizontal alveolar distraction of the mandibular canine regions for implant placement 显示文摘Bulut E Muglali M Celebi N 2010J Craniofae Surg2010,21,3:1
16Image restoration using cellular neural network 显示文摘Celebi M E Giizelis C 1997Electronics Letters1997,33,1:1
17Analysis ofinput-ouput clustering for determining centers ofRBFN 显示文摘Uykan Z Guzelis C Celebi M E 2000IEEE Trans on Neural Networks2000,11,4:1
18Proteome analysis of rat bone marrow mesenchymal stem cell differentiation显示文摘CELEBI B ELCIN A E ELCIN Y M 2010J Proteome Res2010,9,10:1
19A Comparative Study of Efficient Initialization Methods for the i-Means Clustering Algorithm 显示文摘Celebi M E Kingravi H A Vela P A 2013Expert Systems with Applications2013,40,1:1
20A comparative study of efficient initialization methods for the K-means clustering algorithm显示文摘Celebi M E Kingravi H A Vela P A 2013Expert Systems with Applications2013,40,1:1
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