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检索条件"机构=Processing and Pattern Recognition Laboratory"
774 条 记 录,以下是231-240 订阅
排序:
Robust Pedestrian detection for semi-automatic construction of a crowded person re-identification dataset  1
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10th International Conference on Articulated Motion and Deformable Objects, AMDO 2018
作者: Huang, Zengxi Feng, Zhen-Hua Yan, Fei Kittler, Josef Wu, Xiao-Jun School of Computer and Software Engineering Xihua University Chengdu China Centre for Vision Speech and Signal Processing University of Surrey Guildford United Kingdom Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Machine Intelligence Jiangnan University Wuxi China
The problem of re-identification of people in a crowd commonly arises in real application scenarios, yet it has received less attention than it deserves. To facilitate research focusing on this problem, we have embark... 详细信息
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Face recognition via locality constrained low rank representation and dictionary learning
arXiv
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arXiv 2019年
作者: Yin, He-Feng Wu, Xiao-Jun Kittler, Josef School of IoT Engineering Jiangnan University Wuxi214122 China Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Wuxi China Centre for Vision Speech and Signal Processing University of Surrey GuildfordGU2 7XH United Kingdom
Face recognition has been widely studied due to its importance in smart cities applications. However, the case when both training and test images are corrupted is not well solved. To address such a problem, this paper... 详细信息
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Incremental transformer with deliberation decoder for document grounded conversations
arXiv
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arXiv 2019年
作者: Li, Zekang Niu, Cheng Meng, Fandong Feng, Yang Li, Qian Zhou, Jie Dian Group School of Electronic Information and Communications Huazhong University of Science and Technology Pattern Recognition Center WeChat AI Tencent Inc China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences School of Computer Science and Engineering Northeastern University China
Document Grounded Conversations is a task to generate dialogue responses when chatting about the content of a given document. Obviously, document knowledge plays a critical role in Document Grounded Conversations, whi... 详细信息
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Motion Object Detection Method based on Real-time Background Update under Complex Environment  2
Motion Object Detection Method based on Real-time Background...
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2017 IEEE 第2届先进信息技术,电子与自动化控制国际会议(IAEAC 2017)
作者: Zixiao Pan Mei Wang School of Automation Wuhan University of Technology Laboratory of Image Processing and Pattern Recognition Yantai Vocational College
For the fast requirement of motion object detection under complex environment, a background subtraction motion object detection method based on real-time background update is presented in this paper.
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Corrigendum to Intrusion detection based on improved density peak clustering for imbalanced data on sensor-cloud systems Journal of Systems Architecture volume 118 (2021) 102212
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Journal of Systems Architecture 2021年 119卷
作者: Ming Yan Yewang Chen Xiaoliang Hu Dongdong Cheng Yi Chen Jixiang Du The College of Computer Science and Technology Huaqiao University Xiamen China Beijing Key Laboratory of Big Data Technology for Food Safety Beijing Technology and Business University Beijing China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Soochow China Xiamen Key Laboratory of Computer Vision and Pattern Recognition Huaqiao University Fujian Key Laboratory of Big Data Intelligence and Security Huaqiao University Xiamen China College of Big Data and Intelligent Engineering Yangtze Normal University Chongqing China
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An Adaptive Regulation Problem and Its Application
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International Journal of Automation and computing 2017年 第2期14卷 221-228页
作者: Yuan Jiang Ji-Yang Dai Key Laboratory of Image Processing and Pattern Recognition Nanchang Hangkong University Nanchang 330063 China School of Information Engineering Nanchang Hangkong University Nanchang 330063 China
This paper studies an adaptive regulation problem for the modified FitzHugh-Nagumo neuron model under external electrical stimulation. We first present the solution of the global robust output regulation problem for o... 详细信息
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Learning a representation with the block-diagonal structure for pattern classification
arXiv
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arXiv 2019年
作者: Yin, He-Feng Wu, Xiao-Jun Kittler, Josef Feng, Zhen-Hua School of Internet of Things Engineering Jiangnan University Wuxi214122 China Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi214122 China Centre for Vision Speech and Signal Processing University of Surrey GuildfordGU2 7XH United Kingdom
Sparse-representation-based classification (SRC) has been widely studied and developed for various practical signal classification applications. However, the performance of a SRC-based method is degraded when both the... 详细信息
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Weighting features before applying machine learning methods to pulsar search  2nd
Weighting features before applying machine learning methods ...
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2nd IFIP TC 12 International Conference on Intelligence Science, ICIS 2017
作者: Wang, Dayang Yin, Qian Wang, Hongfeng Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing100875 China
In recent years, different Artificial Intelligence methods have been applied to pulsar search, such as Artificial Neural Network method, PEACE Sorting Algorithm, Real-time Classification method. In this paper, Weighti... 详细信息
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Enlightening the relationship between distribution and regression fitting  2nd
Enlightening the relationship between distribution and regre...
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2nd IFIP TC 12 International Conference on Intelligence Science, ICIS 2017
作者: Yu, Hang Yin, Qian Guo, Ping Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing100875 China
Statistical distribution fitting and regression fitting are both classic methods to model data. There are slight connections and differences between them, as a result they outperform each other in different cases. A a... 详细信息
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Sparse Kernel Regression with Coefficient-based `q−regularization
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Journal of Machine Learning Research 2019年 20卷
作者: Shi, Lei Huang, Xiaolin Feng, Yunlong Suykens, Johan A.K. Shanghai Key Laboratory for Contemporary Applied Mathematics School of Mathematical Sciences Fudan University Shanghai China Institute of Image Processing and Pattern Recognition Institute of Medical Robotics Shanghai Jiao Tong University MOE Key Laboratory of System Control and Information Processing Shanghai China Department of Mathematics and Statistics State University of New York at Albany New York United States Department of Electrical Engineering ESAT-STADIUS KU Leuven Kasteelpark Arenberg 10 LeuvenB-3001 Belgium
In this paper, we consider the `q−regularized kernel regression with 0 q−penalty term over a linear span of features generated by a kernel function. We study the asymptotic behavior of the algorithm under the framewor... 详细信息
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