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	Research on Rocket Engine Pose Measurement Technology Based on Monocular Vision 会议论文 OAI收割 Nanjing, China, 2023-06-16 作者: Zhang, Haifeng; Wu, Jiaxin; Liu, Delian; Duan, Jiaxin; Guo, Gao \| 收藏 \| 浏览/下载：20/0 \| 提交时间：2023/12/26 Rocket Engine Centroid Pose Measurement Translation Vector
	Identifying translation initiation sites in prokaryotes using support vector machine 期刊论文 OAI收割 JOURNAL OF THEORETICAL BIOLOGY, 2010, 卷号: 262, 期号: 4, 页码: 644-649 作者: Gao, Tingting; Yang, Zhixia; Wang, Yong; Jing, Ling \| 收藏 \| 浏览/下载：22/0 \| 提交时间：2018/07/30 Translation initiation site prediction Support vector machine Position specific weight matrix
	基于多系统融合的统计机器翻译模型及系统研究学位论文 OAI收割工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2008 作者: 杜金华收藏 \| 浏览/下载：27/0 \| 提交时间：2015/09/02 统计机器翻译双语语料库建设多引擎翻译平台相对位置向量重排序模型 MBR解码混淆网络多系统融合框架 statistical machine translation bilingual corpus construction multi-engine translation platform relative position vector re-ordering model MBR decoding Confusion Network system combination framework
	A novel starting-point-independent wavelet coefficient shape matching (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China Hu S.; Zhu M.; Wu C.; Song H.-J. 收藏 \| 浏览/下载：17/0 \| 提交时间：2013/03/25 In many computer vision tasks in order to improve the accuracy and robustness to the noise wavelet analysis is preferred for the natural multi-resolution property. However the wavelet representation suffers from the dependency of the starting point of the sampled contour. For overcoming the problem that the wavelet representation depends on the starting point of the sampled contour the Zernike moments are introduced and a novel Starting-Point-lndependent wavelet coefficient shape matching algorithm is presented. The proposed matching algorithm firstly gains the object contours and give the translation and scale invariant object shape representation. The object shape representation is converted to the dyadic wavelet representation by the wavelet transform. And then calculate the Zernike moments of wavelet representation in different scales. With respect to property of rotation invariant of Zernike moments consider the Zernike moments as the feature vector to calculate the dissimilarity between the object and template image which overcoming the problem of dependency of starting point. The experimental results have proved the proposed algorithm to be efficient precise and robust.