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9篇 您的检索式：作者名="Hong Geok Soon"

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		题名	作者	年代	出处	被引量
	1	Multi-category Micro-milling Tool Wear Monitoring with Continu-ous Hidden Markov Models 显示文摘	ZHU Kunpeng WONG Yoke San HONG Geok Soon	2009	Mechanical Systems andSignal Processing2009，23，2：	1
	2	Optimized tool path generation for fast tool servo diamond turning of micro-structured surfaces显示文摘	De Ping Yu Sze Wei Gan Yoke San Wong Geok Soon Hong Mustafizur Rahman Jin Yao	2012	The International Journal of Advanced Manufacturing Technology2012，，9：	1
	3	Multi--category Micro--milling Tool Wear Moni- toring with Continuous Hidden Markov Models显示文摘	Zhu Kunpeng Yoke San Wong Geok Soon Hong	2009	Mechanical Systems and Signal Processing2009，23，2：	1
	4	Wavelet analysis of sensor signals for tool condition monitoring: A review and some new results 显示文摘	Zhu Kunpeng Wong Yoke San Hong Geok Soon	2009	International Journal of Machine Tools & Manufacture2009，49，：	1
	5	Wavelet analysis of sensor signals for tool condition monitoring: A review and some new results显示文摘	Kunpeng Zhu Yoke San Wong Geok Soon Hong	2009	International Journal of Machine Tools and Manufacture2009，，7：	1
	6	Optimal Selection of Machining Parameters for Fast Tool Servo Diamond Turning显示文摘	De Ping Yu Yoke Son Wong Geok Soon Hong	2011	The International Journal of Advanced Manufacturing Technology2011，57，14：	1
	7	Multi-category micro-milling tool wear monitoring with continuous hidden Markov models显示文摘	Kunpeng Zhu Yoke San Wong Geok Soon Hong	2008	Mechanical Systems and Signal Processing2008，，2：	1
	8	Wavelet analysis of sensor signals for tool condition monitoring: a review and some new results显示文摘	ZHU Kunpeng WONG Yoke San HONG Geok Soon	2009	International Journal of Machine Tools & Manufacture2009，49，：	1
	9	A Wavelet Approach for Partial Occluded Object Recognition显示文摘A complete 2-D object recognition algorithm applicable for both standalone and partial occluded object is presented. The main contributions in our work are: we developed a scale and partial occlusion invariant boundary partition algorithm and a multiresolution feature extraction algorithm using wavelet. We also implemented a hierarchical matching strategy for feature matching to reduce computational load,but increase matching accuracy. Experiment result shows proposed recognition algorithm is robust to similarity transform and partial occlusion.	Kah Bin Lim Geok Soon Hong	2006	武汉理工大学学报2006，28，S1：	0

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