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检索条件"机构=Key Laboratory of Image Processing and Pattern Recognition"
844 条 记 录,以下是331-340 订阅
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DNA Sequence Alignment Algorithm Based on k-tuple Statistics
DNA Sequence Alignment Algorithm Based on k-tuple Statistics
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2017 2nd International Conference on Software, Multimedia and Communication Engineering(SMCE 2017)
作者: Jun-yan ZHANG Chen-hui YANG Hai-ying WANG College of Information Science and Engineering Chengdu UniversityChengdu 610106China Key Laboratory of Pattern Recognition and Intelligent Information Processing of Sichuan Chengdu University
DNA Sequence Alignment is one of the most basic and most important operations in *** this paper,we put forward to SDk S algorithm based on k-tuple statistic,which is a kind of probability *** positive transition proba... 详细信息
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An Effective Method for Modeling Two-dimensional Sky Background of LAMOST
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Proceedings of the International Astronomical Union 2017年 第S325期12卷 63-66页
作者: Hasitieer Haerken Fuqing Duan Jiannan Zhang Ping Guo Image Processing and Pattern Recognition Laboratory Beijing Normal University 100875 Beijing China email: fqduan@bnu.edu.cnpguo@*** National Astronomical Observatories & Chinese Academy of Sciences 100012 Beijing China email: hastear@***jnzhang@***
Each CCD of LAMOST accommodates 250 spectra, while about 40 are used to observe sky background during real observations. How to estimate the unknown sky background information hidden in the observed 210 celestial spec... 详细信息
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Nonconvex penalties with analytical solutions for one-bit compressive sensing
arXiv
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arXiv 2017年
作者: Huang, Xiaolin Yan, Ming Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University MOE Key Laboratory of System Control and Information Processing Shanghai200240 China Department of Computational Mathematics Science and Engineering Department of Mathematics Michigan State University East LansingMI48824 United States
One-bit measurements widely exist in the real world and can be used to recover sparse signals. This task is known as one-bit compressive sensing (1bit-CS). In this paper, we propose novel algorithms based on both conv... 详细信息
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Varifocal-Net: A Chromosome Classification Approach Using Deep Convolutional Networks
arXiv
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arXiv 2018年
作者: Qin, Yulei Wen, Juan Zheng, Hao Huang, Xiaolin Yang, Jie Song, Ning Zhu, Yue-Min Wu, Lingqian Yang, Guang-Zhong Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai200240 China Center for Medical Genetics School of Life Sciences Central South University Changsha410078 China Shanghai Key Laboratory of Reproductive Medicine School of Medicine Shanghai Jiao Tong University Shanghai200025 China Diagens-Hangzhou Hangzhou311121 China University Lyon INSA Lyon CNRS INSERM CREATIS UMR 5220 U1206F-69621 France Hamlyn Centre for Robotic Surgery Imperial College London SW72AZ United Kingdom
Chromosome classification is critical for karyotyping in abnormality diagnosis. To expedite the diagnosis, we present a novel method named Varifocal-Net for simultaneous classification of chromosomes type and polarity... 详细信息
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Cross-media analysis and reasoning: advances and directions
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Frontiers of Information Technology & Electronic Engineering 2017年 第1期18卷 44-57页
作者: Yu-xin PENG Wen-wu ZHU Yao ZHAO Chang-sheng XU Qing-ming HUANG Han-qing LU Qing-hua ZHENG Tie-jun HUANG Wen GAO Institute of Computer Science and Technology Peking University Department of Computer Science and Technology Tsinghua University Institute of Information Science Beijing Jiaotong University National Laboratory of Pattern Recognition Institute of AutomationChinese Academy of Sciences Key Laboratory of Intelligent Information Processing Institute of Computing TechnologyChinese Academy of Sciences Department of Computer Science and Technology Xi'an Jiaotong University School of Electronics Engineering and Computer Science Peking University
Cross-media analysis and reasoning is an active research area in computer science, and a promising direction for artificial intelligence. However, to the best of our knowledge, no existing work has summarized the stat... 详细信息
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image Stitching with single-hidden layer feedforward Neural Networks
Image Stitching with single-hidden layer feedforward Neural ...
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International Joint Conference on Neural Networks
作者: Min Yan Qian Yin Ping Guo Image Processing and Pattern Recognition Laboratory Beijing Normal University
In this paper, a novel image stitching method is proposed, which utilizes scale-invariant feature transform (SIFT) feature and single-hidden layer feedforward neural network (SLFN) to get higher precision of parameter... 详细信息
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Kernel Selection with Evolutionary Algorithm for Multiple Kernel Independent Component Analysis
Kernel Selection with Evolutionary Algorithm for Multiple Ke...
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International Joint Conference on Neural Networks
作者: Peng Wu Qian Yin Ping Guo Image Processing and Pattern Recognition Laboratory Beijing Normal University
Kernel independent component analysis (KICA) has an important application in blind source separation, in which how to select the optimal kernel, including the kernel functional form and its parameters, is the key issu... 详细信息
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Study of point spread function of astronomical object imaging
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International Conference on Information Science and Applications, ICISA 2016
作者: Yu, Jian Yin, Qian Guo, Ping College of Computer and Information Engineering Hanshan Normal University ChaozhouGuangdong521041 China Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing100875 China
The research of point spread function (PSF) of astronomical object imaging is very important to the astronomical image restoration. In this paper, the simulated atmospheric turbulent phase screen, the short exposure P... 详细信息
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A MIL-based interactive approach for hotspot segmentation from bone scintigraphy
A MIL-based interactive approach for hotspot segmentation fr...
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International Conference on Acoustics, Speech, and Signal processing (ICASSP)
作者: Shijie Geng Jingyang Ma Xiaoguang Niu Shaoyong Jia Yu Qiao Jie Yang Institute of Image Processing and Pattern Recognition The Key Laboratory of System Control and Information Processing Ministry of Education China
Bone scintigraphy is widely used to diagnose bone diseases. Accurate hotspot segmentation is a critical task for tumor metastasis diagnosis. In this paper, we propose an interactive approach to detect and extract hots... 详细信息
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Correction to: Internet gaming disorder: deficits in functional and structural connectivity in the ventral tegmental area-Accumbens pathway
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Brain imaging and behavior 2019年 第4期13卷 1182页
作者: Ruonan Wang Min Li Meng Zhao Dahua Yu Yu Hu Corinde E Wiers Gene-Jack Wang Nora D Volkow Kai Yuan School of Life Science and Technology Xidian University Xi'an Shaanxi 710071 People's Republic of China. Engineering Research Center of Molecular and Neuro Imaging Ministry of Education Xi'an People's Republic of China. Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing School of Information Engineering Inner Mongolia University of Science and Technology Baotou Inner Mongolia 014010 People's Republic of China. National Institute on Alcoholism and Alcohol Abuse National Institutes of Health Bethesda MD 20892 USA. National Institute on Drug Abuse National Institutes of Health Bethesda MD 20892 USA. School of Life Science and Technology Xidian University Xi'an Shaanxi 710071 People's Republic of China. kyuan@***. Engineering Research Center of Molecular and Neuro Imaging Ministry of Education Xi'an People's Republic of China. kyuan@***. Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing School of Information Engineering Inner Mongolia University of Science and Technology Baotou Inner Mongolia 014010 People's Republic of China. kyuan@***. National Institute on Alcoholism and Alcohol Abuse National Institutes of Health Bethesda MD 20892 USA. kyuan@***. Guangxi Key Laboratory of Multi-Source Information Mining and Security Guangxi Normal University Guilin People's Republic of China. kyuan@***.
The original version of this article contained mistakes, and the authors would like to correct them. The correct details are given below.
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