中国科学院机构知识库网格系统: 检索

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	Psychometric Properties of the Chinese Version of the Filial Responsibility Scale 期刊论文 OAI收割 SOCIAL BEHAVIOR AND PERSONALITY, 2023, 卷号: 51, 期号: 7, 页码: 13 作者: Ma, Xiaohui; Liang, Lei; Liu, Jing; Zhang, Xingyu; Li, Xiying \| 收藏 \| 浏览/下载：27/0 \| 提交时间：2023/10/09 filial responsibility expectation older adults information expectation scale psychometric properties scale translation
	面向大规模双语语料的层次短语统计机器翻译技术研究学位论文 OAI收割工学博士, 中国科学院自动化研究所: 中国科学院大学, 2014 作者: 付晓寅收藏 \| 浏览/下载：108/0 \| 提交时间：2015/09/02 层次短语大规模数据模型优化统计机器翻译系统 Hierarchical phrase Large-scale Data Model Optimization Statistical Machine Translation System
	统计机器翻译中模型的训练、自适应和学习算法研究学位论文 OAI收割工学博士, 中国科学院自动化研究所: 中国科学院大学, 2014 作者: 卢世祥收藏 \| 浏览/下载：114/0 \| 提交时间：2015/09/02 统计机器翻译大规模语言模型翻译模型领域自适应深度神经网络 Statistical Machine Translation Large-scale Language Model Translation Model Domain Adaptation Deep Neural Network
	Scene matching based on directional keylines and polar transform (EI CONFERENCE) 会议论文 OAI收割 2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China 作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y. 收藏 \| 浏览/下载：24/0 \| 提交时间：2013/03/25 Scene matching under complex background is a priority and difficulty in the field of computer vision it has the characteristics of rotation and scaling invariance commonly used in matching real-time collected images and photos for navigation. Scene matching techniques are faced with complex natural scenes anti-light and anti-slight-distortion the image distortion exist applicable for complex scene matching. The project has a new idea: combining the keylines with the vectors description based on polar image translation such as light and utilize the rotation-scale-invariance vectors to describe the extracted keylines change of gray levels this method includes three steps: keylines extraction perspective description and matching. Preliminary experiments show that this keylines-based scene matching algorithm is applicable for image matching under complex background. 2010 IEEE. scaling and other differences which cause matching difficult. This paper aims to find a scene matching algorithm
	Image registration based on log-polar transform and SIFT features (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Computational and Information Sciences, ICCIS2010, December 17, 2010 - December 19, 2010, Chengdu, Sichuan, China 作者: Liu Y.; Liu Y.; Liu Y. 收藏 \| 浏览/下载：18/0 \| 提交时间：2013/03/25 This paper describes a novel image registration method that combines log-polar transform and SIFT to recover similarity transformations (rotation/ scale/ translation).We extracts SIFT feature points in the two images firstly. Then we use threshold Euclidean distance to coarsely match the feature points. After that the log-polar transform is applied to compute the rotation and scale parameters. And we can obtain the translation parameter by the location relationship of the feature points. 2010 IEEE.
	Mean shift tracking combining SIFT (EI CONFERENCE) 会议论文 OAI收割 2008 9th International Conference on Signal Processing, ICSP 2008, October 26, 2008 - October 29, 2008, Beijing, China 作者: Xue C. 收藏 \| 浏览/下载：66/0 \| 提交时间：2013/03/25 A novel visual tracking algorithm to cope with occlusion and scale variation is proposed. This method combines mean shift and SIFT algorithm to track object. SIFT algorithm is invariant to rotation translation and scale variation. But it is a timeconsuming algorithm. The wasting time is related to image size. So the proposed algorithm first adopts mean shift to initially locate object position then SIFT operator is used to detect features in object area and model area lastly the proposed method matches features in these two areas and calculates the relationship between them using affine transform. According to affine transform parameters the state of object can be adjusted in time. In order to reduce process time an improved feature matching algorithm is proposed in this paper. Experiments show that the proposed algorithm deals with occlusion successfully and can adjust object size in time. 2008 IEEE.
	Difference-templates based target tracking method 会议论文 OAI收割 5th International Symposium on Multispectral Image Processing and Pattern Recognition, Wuhan, China, November 15-17, 2007 作者: Luo HB(罗海波); Shi ZL(史泽林); Li DQ(李德强); Yan ZD(闫占德) 收藏 \| 浏览/下载：17/0 \| 提交时间：2012/06/06 target tracking difference templates translation transformation scale transformation M estimator illumination adaptability anti-occlusion
	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：18/0 \| 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.
	PSO based gabor wavelet feature extraction method (EI CONFERENCE) 会议论文 OAI收割 2004 International Conference on Information Acquisition, ICIA 2004, June 21, 2004 - June 25, 2004, Hefei, China 作者: Sun H.; Zhang Y.; Sun H. 收藏 \| 浏览/下载：19/0 \| 提交时间：2013/03/25 In this paper the time of feature extraction is faster. By test in low contrast image 2D continues Gabor wavelets are adopted to realize feature extraction. By optimize Gabor wavelet's parameters of translation the feasibility and effectiveness of the algorithm are demonstrated by VC++ simulation platform in experiments. 2004 IEEE. orientation and scale to make it approximates a local image contour region. The method of Sobel edge detection is used to get the initial position and orientation value of optimization in order to improve the convergence speed. In the wavelet characteristic space we adopt PSO (particle swarm optimization) Algorithm to identify points on the security border of the system. Comparing to the LM algorithm it can ensure reliable convergence the target which can improve convergent speed