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	联机中文手写文本识别方法研究学位论文 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, 2012 作者: 王大寒收藏 \| 浏览/下载：91/0 \| 提交时间：2015/09/02 联机手写数据库手写文本识别置信度转换字符串级别置信度参数学习手写句子实时识别 online handwriting database handwritten text recognition confidence transformation string-level conﬁ dence parameters learning real-time handwritten sentence recognition
	Image registration based on Mexican-hat wavelets and pseudo-Zernike moments (EI CONFERENCE) 会议论文 OAI收割 2012 World Automation Congress, WAC 2012, June 24, 2012 - June 28, 2012, Puerto Vallarta, Mexico 作者: Liu Y.; Liu Y.; Liu Y. 收藏 \| 浏览/下载：36/0 \| 提交时间：2013/03/25 Image registration is a key technique in pattern recognition and image processing and it is widely used in many application areas such as computer vision remote sensing image fusion and object tracking. A method for image registration combining Mexican-hat wavelets and pseudo-Zernike moments is proposed. Firstly feature points are extracted using scale-interaction Mexican-hat wavelets in the reference image and sensed image respectively. Then pseudo-Zernike moments are used to match them and classical RANSAC used to eliminate the wrong matches. And then the well match points are used to estimate the best affine transform parameters by least squares minimization. At last the sensed image is transformed and resampled to accomplish the image registration. The experiments indicate that the proposed algorithm extracts feature points and matches them exactly and eliminates wrong matched points effectively and achieves nice registration results. 2012 TSI Press.
	Infrared signature measurement of targets accounting for atmospheric attenuation (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China 作者: Yang C.-Y.; Lu M.; Zhang J.-P.; Cao L.-H. 收藏 \| 浏览/下载：29/0 \| 提交时间：2013/03/25 Infrared radiation signature measurement of targets is one of important ways for target signature acquirement and target recognition. When measuring the infrared signature of a target in the atmosphere molecules and aerosol particles in the atmosphere would attenuate the infrared radiation from the target and at the same time the air path radiation would be added to the target radiation. Therefore in order to obtain the intrinsic infrared radiation of the target it is necessary to perform atmospheric correction in the process of target radiation inversion. A model for target radiation measurement and inversion was established and precision analysis on the model was given. A longwave infrared camera was used to perform infrared signature measurement experiment on an ISDC extended-area blackbody. Based on atmospheric parameters the atmospheric transmittance and the air path radiation between the blackbody target and the camera were calculated by using the MODTRAN software for use in atmospheric correction in the target radiation inversion process. The experimental results showed that radiation inversion precisions were about 7.3%9.3%. Additionally inversion precision will improve as target temperature rises. 2010 IEEE.
	Parameter Recognition for Control Systems Based on Chaotic Ant Swarm Algorithm 会议论文 OAI收割 2010 International Conference on Electrical and Control Engineering (ICECE 2010), Wuhan, China, June 25-27, 2010 作者: Jia ZZ(贾朱植); Zhu HY(祝洪宇); Cheng WS(程万胜) 收藏 \| 浏览/下载：17/0 \| 提交时间：2012/06/06 chaotic ant swarm algorithm parameters recognition global search
	A Parameter Intelligent Recognition Method and Numerical Simulation of Large Underground Caverns 会议论文 OAI收割 Wuhan, PEOPLES R CHINA, JUN 06-07, 2009 作者: Xiang, Tianbing; Jiang, Quan; Feng, Xiating; Wan, Xiangbing \| 收藏 \| 浏览/下载：22/0 \| 提交时间：2018/06/05 parameters recognition intelligent method undergrpund engineering numerical calculation
	嵌入式汉英双语混合语音识别技术的研究学位论文 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: 浦剑涛收藏 \| 浏览/下载：65/0 \| 提交时间：2015/09/02 嵌入式语音识别非特定语言语音识别模型参数共享鲁棒性 Embedded Speech Recognition Language Independent Speech Recognition Sharing of Acoustic Model Parameters Robust Speech Recognition
	Contour extracting with combination particle filtering and em algorithm (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging, ISPDI 2007: Related Technologies and Applications, September 9, 2007 - September 12, 2007, Beijing, China Meng B.; Zhu M. 收藏 \| 浏览/下载：25/0 \| 提交时间：2013/03/25 The problem of extracting continuous structures from images is a difficult issue in early pattern recognition and image processings[1]. Tracking with contours in a filtering framework requires a dynamical model for prediction. Recently Particle filter is widely used because its multiple hypotheses and versatility within framework. However the good choice of the propagation function is still its main problem. In this paper an improved particle filter EM-PF algorithm is proposed which using the EM (Expectation-Maximization) algorithm to learn the dynamical models. The EM algorithm can explicitly learn the parameters of the dynamical models from training sequences. The advantage of using the EM algorithm in particle filter is that it is capable of improve tracking contour by having accurate model parameters. Though the experiment results we show how our EM-PF can be applied to produces more robust and accurate extracting.
	Affine object recognition and affine parameters estimation based on covariant matrix (EI CONFERENCE) 会议论文 OAI收割 2008 International Symposium on Information Science and Engineering, ISISE 2008, December 20, 2008 - December 22, 2008, Shanghai, China 作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y. 收藏 \| 浏览/下载：133/0 \| 提交时间：2013/03/25 A new method of affine object recognition and affine parameters estimation is presented. For a real-time image and a group of templates in addition firstly on the basis of correct recognition we segment the object regions in them and compute their covariant matrices. Secondly it can estimate affine parameters exactly normalize the ellipse regions defined by covariant matrices to circle regions to get rotational invariants and the estimated error is within 3%. 2008 IEEE. and compute the similarity function value between rotational invariants of real-time image and every template respectively. Then compare the values with threshold set in advance if more than one value is larger than threshold take the corresponding templates as candidates and compute affine matrix between real-time image and every candidate. Finally transform the realtime image with every affine matrix and match the result with corresponding candidate by classical matching methods. Experimental results show that the presented method is robust to illumination with low computational complexity and it can realize recognition of different affine objects