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检索条件"机构=The Key Laboratory of Intelligent Computing and Signal Processing of MOE"
1143 条 记 录,以下是201-210 订阅
排序:
Few-Shot Object Detection in SAR images via Gaussian Flow Class-Balanced Differential Aggregation  2
Few-Shot Object Detection in SAR images via Gaussian Flow Cl...
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2nd IEEE International Conference on signal, Information and Data processing, ICSIDP 2024
作者: Zhao, Po Chen, Jie Zhang, Chaochen Ma, Ke Anhui University Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Electronics and Information Engineering Hefei230601 China
Currently, few-shot object detection (FSOD) methods for synthetic aperture radar (SAR) images are severely understudied. The high confidentiality and scarcity of SAR data, coupled with the susceptibility of targets in... 详细信息
来源: 评论
Selecting Discriminative Features for Fine-Grained Visual Classification  5th
Selecting Discriminative Features for Fine-Grained Visual Cl...
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5th Asian Conference on Pattern Recognition, ACPR 2019
作者: Xu, Qin Li, Linyang Chen, Qian Luo, Bin Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei230601 China
Fine-grained visual classification is a challenging task because of intra-class variation and inter-class similarity. Most fine-grained models predominantly focus on discriminative region localization which can effect... 详细信息
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Construction of One-Lee Weight and Two-Lee Weight Codes over IF_p+vIF_p
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Journal of Systems Science & Complexity 2017年 第2期30卷 484-493页
作者: SHI Minjia LUO Yong SOLE Patrick Key Laboratory of Intelligent Computing&Signal Processing Ministry of EducationAnhui UniversityHefei 230039China School of Mathematical Sciences Anhui UniversityHefei 230601China National Mobile Communications Research Laboratory Southeast UniversityNanjing 210096China Telecom Paris Tech ParisFrance
This paper is devoted to the construction of one-Lee weight codes and two-Lee weight codes over IF_p+vIF_p(v^2=v) with type p^(2 k_1)p^(k2)p^(k3) based on two different distance-preserving Gray maps from((IF_p+vIF_p)~... 详细信息
来源: 评论
A simple and efficient fusion framework for surveillance images
Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu
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Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu 2016年 第6期 149-156页
作者: Chen, Lili Guo, Hongjun Laboratory of Intelligent Information Processing Suzhou University Suzhou China Key Laboratory of Intelligent Computing and Signal Processing of MOE Anhui University Hefei China
Purpose. Aiming at solving the fusion issue of surveillance images, a simple and efficient fusion framework using block compressed sensing sampling (BCSS) is proposed in this paper, which consists of two fusion method... 详细信息
来源: 评论
Non-intrusive Load Monitoring Based Data-Free Incremental Electrical Appliance Identification  8th
Non-intrusive Load Monitoring Based Data-Free Incremental El...
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8th International Conference on Energy and Environmental Science, ICEES 2024
作者: Zhou, Rui Fang, Xiaohan The Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Electrical Engineering and Automation Anhui University Hefei230601 China
In the realm of modern energy management systems, Non-Intrusive Load Monitoring (NILM) technology provides an innovative solution for power suppliers. It allows for remote monitoring and analysis of users’ electricit... 详细信息
来源: 评论
The study of classification of motor imaginaries based on kurtosis of EEG
The study of classification of motor imaginaries based on ku...
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13th International Conference on Neural Information processing, ICONIP 2006
作者: Xiaopei, Wu Zhongfu, Ye Key Laboratory of Intelligent Computing and Signal Processing of MOE Anhui University Hefei 230039 Anhui province China Department of Electronic Engineering and Information Science USTC Hefei 230037 Anhui province China
In this paper, the kurtosis-based method for the classification of mental activities is proposed. The EEG signals were recorded during imagination of left or right hand movement. The kurtosis of EEG and its dynamic pr... 详细信息
来源: 评论
Distributed solving Sylvester equations with fractional order dynamics
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Control Theory and Technology 2021年 第2期19卷 249-259页
作者: Songsong Cheng Shu Liang Yuan Fan Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Electrical Engineering and AutomationAnhui UniversityHefei230601AnhuiChina Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education School of Automation and Electrical EngineeringUniversity of Science and Technology BeijingBeijing100083China
This paper addresses distributed computation Sylvester equations of the form AX+XB=C with fractional order *** partitioning parameter matrices A,B and C,we transfer the problem of distributed solving Sylvester equatio... 详细信息
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On Isodual Double Toeplitz Codes
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Journal of Systems Science & Complexity 2024年 第5期37卷 2196-2206页
作者: SHI Minjia XU Li SOLÉ Patrick Key Laboratory of Intelligent Computing and Signal Processing Ministry of EducationSchool of Mathematical SciencesAnhui UniversityHefei 230601China State Key Laboratory of Information Security Institute of Information EngineeringChinese Academy of SciencesBeijing 100093China CNRS University of Aix MarseilleCentrale MarseilleI2MMarseille 13284France
Double Toeplitz(shortly DT)codes are introduced here as a generalization of double circulant *** authors show that such a code is isodual,hence formally self-dual(FSD).FSD codes form a far-reaching generalization of s... 详细信息
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Attention Mechanism Based Technical Phrase Extraction for Patent Text  8
Attention Mechanism Based Technical Phrase Extraction for Pa...
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8th International Conference on intelligent computing and signal processing, ICSP 2023
作者: Jiang, Xin Zhou, Peng Zhao, Shu Guo, Yufeng Anhui University School of Computer Science and Technology Hefei China Anhui University Key Laboratory of Intelligent Computing and Signal Processing Hefei China
Technological innovation is becoming one of the critical factors in promoting social development all over the world. The vigorous development of patent applications in recent years provides an opportunity to reveal th... 详细信息
来源: 评论
Person re-identification with density-distance unsupervised salience learning  8th
Person re-identification with density-distance unsupervised ...
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8th International Conference on Image and Graphics, ICIG 2015
作者: Zhou, Baoliang Zheng, Aihua Jiang, Bo Li, Chenglong Tang, Jin Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology AnHui University Hefei China Key Laboratory of Industry Image Processing and Analysis in Anhui Province Hefei China
Human salience of pedestrians images is distinctive and has been shown importantly in person re-identification (or pedestrians identification) problem. Thus, how to obtain the salient area of pedestrian images is impo... 详细信息
来源: 评论