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• 长春光学精密机械与物... [5]
• 数学与系统科学研究院 [5]
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• OAI收割 [15]

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• 期刊论文 [10]
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• 2023 [1]
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浏览/检索结果: 共15条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Truncations of Random Unitary Matrices Drawn from Hua-Pickrell Distribution 期刊论文  OAI收割 COMPLEX ANALYSIS AND OPERATOR THEORY, 2023, 卷号: 17, 期号: 1, 页码: 24 作者:  Lin, Zhaofeng;  Qiu, Yanqi;  Wang, Kai   |  收藏  |  浏览/下载：23/0  |  提交时间：2023/02/07 Determinantal point process  Hua-Pickrell measure  Truncated unitary matrix  Limiting point process  Weighted Bergman kernel   Performance analysis of switched linear systems under arbitrary switching via generalized coordinate transformations 期刊论文  OAI收割 SCIENCE CHINA-INFORMATION SCIENCES, 2019, 卷号: 62, 期号: 1, 页码: 11 作者:  Lin, Meili;  Sun, Zhendong   |  收藏  |  浏览/下载：56/0  |  提交时间：2019/01/11 generalized coordinate transformation  matrix set measure  spectral abscissa  switched linear system   UPPER BOUND ESTIMATION OF THE SPECTRAL ABSCISSA FOR SWITCHED LINEAR SYSTEMS VIA COORDINATE TRANSFORMATIONS 期刊论文  OAI收割 KYBERNETIKA, 2018, 卷号: 54, 期号: 3, 页码: 576-592 作者:  Lin, Meili;  Sun, Zhendong   |  收藏  |  浏览/下载：24/0  |  提交时间：2018/10/07 switched linear systems  matrix set measure  spectral abscissa  coordinate transformations   Integrating heterogeneous information via flexible regularization framework for recommendation 期刊论文  OAI收割 KNOWLEDGE AND INFORMATION SYSTEMS, 2016, 卷号: 49, 期号: 3, 页码: 835-859 作者:  Shi, Chuan;  Liu, Jian;  Zhuang, Fuzhen;  Yu, Philip S.;  Wu, Bin   |  收藏  |  浏览/下载：19/0  |  提交时间：2019/12/13 Recommender system  Heterogeneous information network  Matrix factorization  Similarity measure   Approximating the Spectral Abscissa for Switched Linear Systems via Coordinate Transformations 期刊论文  OAI收割 JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2016, 卷号: 29, 期号: 2, 页码: 350-366 作者:  Lin Meili;  Sun Zhendong   |  收藏  |  浏览/下载：19/0  |  提交时间：2018/07/30 Coordinate transformations  matrix set measure  spectral abscissa  switched linear systems   Image quality assessment based on complex representation of structure information (EI CONFERENCE) 会议论文  OAI收割 2011 International Conference on Electrical, Information Engineering and Mechatronics, EIEM 2011, December 23, 2011 - December 25, 2011, Jiaozuo, Henan, China 作者:  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y. 收藏  |  浏览/下载：30/0  |  提交时间：2013/03/25 Local variance and single pixel value are combined to describe image structure information using complex method in this paper in order to improve the consistency of objective image assessment result with that of subjective method. The effect of the detail structure information on the image quality was emphasized by this method accordingly. Singular value decomposition was performed on local variance distribution complex matrix. The angle between the singular value vectors of the reference image and the disturbed image was used to measure their structural similarity. Then the quality assessment process was achieved. Results from experiments show that the proposed method is better consistent with human visual system characteristics than MSE  PSNR  and SSIM. 2012 Springer-Verlag London Limited.   Image quality assessment based on gradient complex matrix (EI CONFERENCE) 会议论文  OAI收割 2012 International Conference on Systems and Informatics, ICSAI 2012, May 19, 2012 - May 20, 2012, Yantai, China 作者:  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y. 收藏  |  浏览/下载：22/0  |  提交时间：2013/03/25 An image quality assessment model based on gradient complex matrix is proposed. The vertical and horizontal gradient information of grayscale image is calculated. Complex number is used to construct the measuring matrix. Singular value decomposition is performed in order to obtain the main structure information of the image. The singular value feature vectors of the image gradient complex matrices corresponding to the reference image and the distorted image are used to measure the structural similarity of the two images. PSNR is taken as a tool to evaluate the gradient distribution similarity. Their properties are analyzed by using LIVE database and nonlinearity regression function. 2012 IEEE.   Quaternion based assessment method for color image fusion algorithms (EI CONFERENCE) 会议论文  OAI收割 2010 3rd International Congress on Image and Signal Processing, CISP 2010, October 16, 2010 - October 18, 2010, Yantai, China 作者:  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y. 收藏  |  浏览/下载：19/0  |  提交时间：2013/03/25 A new approach to assess the performance of color image fusion algorithms is proposed. The color information is fully used by this method. Quaternions are used to encode the pixels in a color image into a quaternion matrix. Local variance of the luminance layer of the color image is taken as the real part of a quaternion  then the three RGB channels of the color image are encoded into the three imaginary parts of a quaternion. The angle between the singular value feature vectors of the quaternion matrices corresponding to one of the source image and the fused image is used to measure their structural similarity. Edge information transferring is used to balance the sensitivity of the assessment methods. Experimental results show that the proposed assessment method is better consistent with the HVS than some of the state-of-the-art method. Accurate assessment results can be given by the proposed method for various of color image fusion algorithms by using the source images and the fused image. 2010 IEEE.   Assessment of color image fusion algorithms based on quaternion singular value decomposition (EI CONFERENCE) 会议论文  OAI收割 MIPPR 2009 - Remote Sensing and GIS Data Processing and Other Applications: 6th International Symposium on Multispectral Image Processing and Pattern Recognition, October 30, 2009 - November 1, 2009, Yichang, China 作者:  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y. 收藏  |  浏览/下载：23/0  |  提交时间：2013/03/25 In this paper  a new approach to objectively assess the performance of image fusion algorithms is proposed. It is based on the quaternion representation for the structural information of color images. Quaternions are used to encode the pixels of a color image into a quaternion matrix. Local variance of the luminance layer of color image is taken as the real part of a quaternion  then the three RGB channels of the color image are encoded into the three imaginary parts of the quaternion. The angle between the singular value feature vectors of the quaternion matrices corresponding to the source image and the fused image is used to measure the structural similarity of them. Different weight is given to the source images by using variance. The experiment results show that the proposed assessment method is consistent with the HVS. The color information of a color image can be fully used by this method. It can give an accurate assessment result for each fusion algorithm by using the source images and the fused image. 2009 Copyright SPIE - The International Society for Optical Engineering.   Clustering complex networks and biological networks by nonnegative matrix factorization with various similarity measures 期刊论文  OAI收割 NEUROCOMPUTING, 2008, 卷号: 72, 期号: 1-3, 页码: 134-141 作者:  Wang, Rui-Sheng;  Zhang, Shihua;  Wang, Yong;  Zhang, Xiang-Sun;  Chen, Luonan   |  收藏  |  浏览/下载：22/0  |  提交时间：2018/07/30 Complex networks  Biological networks  Community structure  Nonnegative matrix factorization  Similarity measure