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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391-400 订阅
Optimal classification of epileptic EEG signals using neural networks and harmony search methods
Journal of Software
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Journal of Software 2014年 第1期9卷 230-239页
作者: Gao, Xiao-Zhi Wang, Jing Tanskanen, Jarno M. A. Bie, Rongfang Wang, Xiaolei Guo, Ping Zenger, Kai College of Information Engineering Shanghai Maritime University China Department of Automation and Systems Technology Aalto University School of Electrical Engineering Finland Laboratory of Image Processing and Pattern Recognition Beijing Normal University China Department of Biomedical Engineering Tampere University of Technology Finland School of Foundational Education Peking University Health Science Center China
In this paper, the Harmony Search (HS)-aided BP neural networks are used for the classification of the epileptic electroencephalogram (EEG) signals. It is well known that the gradient descent-based learning method can... 详细信息
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On weak Sidon sequences
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Journal of Combinatorial Mathematics and Combinatorial Computing 2014年 第Nov.期91卷 107-113页
作者: Xu, Xiaodong Liang, Meilian Shao, Zehui Guangxi Academy of Sciences Nanning530007 China School of Mathematics and Information Science Guangxi University Nanning530004 China Key Laboratory of Pattern Recognition and Intelligent Information Processing Institutions of Higher Education of Sichuan Province China School of Information Science and Technology Chengdu University Chengdu610106 China
A sequence {ai |1 ≤ i ≤ k} of integers is a weak Sidon sequence if the sums ai + aj are all different for any i i |1 ≤ i ≤ k} such that 1 ≤ a1k ≤ n. Let the weak Sidon number G(k) = min{n | g(n) = k}. In this no... 详细信息
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Challenging the recognition of facial expression via deep learning
Challenging the recognition of facial expression via deep le...
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作者: Hu, De Kun Liu, Yong Hong Zhang, Li Duan, Gui Duo Key Laboratory of Pattern Recognition and Intelligent Information Processing Institutions of Higher Education of Sichuan Province Chengdu University Chengdu 610106 China School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 610054 China
A deep Neural Network model was trained to classify the facial expression in unconstrained images, which comprises nine layers, including input layer, convolutional layer, pooling layer, fully connected layers and out... 详细信息
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Dual-Channel SAR Ground Moving Target Detection and Parameters Estimation
Dual-Channel SAR Ground Moving Target Detection and Paramete...
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International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology
作者: H. Shabana Liu Fang Shuyu Xiang National Key Laboratory image perception and recognition Xidian University National Key Laboratory of Radar Signal Processing Xidian University
This paper proposes a new algorithm for imaging moving targets via estimating their motion parameters with dual channel synthetic aperture radar. Displaced phase center array (DPCA) antennas are used for clutter cance... 详细信息
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Adaptive regularization deconvolution extraction algorithm for spectral signal processing
Adaptive regularization deconvolution extraction algorithm f...
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IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA)
作者: Jian Yu Ping Guo A-li Luo Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China National Astronomical Observatories Chinese Academy of Sciences Beijing China
Deconvolution is known as an ill-posed problem. In order to solve such a problem, a regularization method is needed to constrain the solution space and find a plausible and stable solution. In practice, it is very com... 详细信息
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An Improvement to Genetic Algorithms for Multimodal Optimization in Noisy Environments: Re-evaluation of All Individuals per Generation
An Improvement to Genetic Algorithms for Multimodal Optimiza...
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International Conference on Computational Intelligence and Communication Networks (CICN)
作者: Junhua Li Peng Liu Linxia Zhou Ming Li Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition Nanchang Hang Kong University Nanchang China School of Information Engineering Nanchang Hang Kong University Nanchang China
Optimization in noisy environments is regard as a favorite application domains of genetic algorithms. Different methods for reducing the influence of noise are presented and discussed. A new fitness evaluation method ... 详细信息
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A robust CPD approach based on shape context
A robust CPD approach based on shape context
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Chinese Control Conference (CCC)
作者: Yawen Yang Zhang Peng Peng Yu Qiao Jie Yang Sheng Zheng Wang The Key Laboratory of Ministry of Education for System Control and Information Processing Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai CN Merchant Marine College Shanghai Maritime University Shanghai CN
Point matching is an important component of image registration. Recent years, Coherent Point Drift (CPD) method becomes a very popular point matching approach. CPD treats point matching as a probability estimation pro... 详细信息
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Shadow detection using regression tree fields with paired regions
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Journal of Computational Information Systems 2013年 第11期9卷 4309-4317页
作者: Tao, Wei Zhou, Yue Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Shanghai 200240 China
In this paper, we try to deal with the problem of shadow detection from static images and video sequences. In instead to considering individual regions separately, we use relative illumination conditions between segme... 详细信息
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An efficient and scalable learning algorithm for Near-Earth objects detection in astronomy big image data
An efficient and scalable learning algorithm for Near-Earth ...
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IEEE International Conference on Systems, Man and Cybernetics
作者: Ke Wang Ping Guo School of computer Science and Technology Beijing Institute of Technology Beijing P.R. China Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing P.R. China
In this paper, we investigate the efficiency and scalability of Gaussian mixture model based learning algorithm for the detection of Near-Earth objects in large scale astronomy image data. We propose an effective sche... 详细信息
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An image compression-encryption algorithm based on 2-D compressive sensing
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Journal of Computational Information Systems 2013年 第24期9卷 10057-10064页
作者: Mo, Yan Zhang, Aidi Zheng, Fen Zhou, Nanrun Jiangxi Province Key Laboratory of Image Processing and Pattern Recognition Nanchang Hangkong University Nanchang 330063 China Department of Electronic Information Engineering Nanchang University Nanchang 330031 China
An image compression-encryption algorithm based on 2-D compressive sensing is proposed, which can accomplish encryption and compression simultaneously. The measurements are performed in two directi-ons and the measure... 详细信息
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