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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171-180 订阅
排序:
Modeling Inter-Intra Heterogeneity for Graph Federated Learning
arXiv
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arXiv 2024年
作者: Yu, Wentao Chen, Shuo Tong, Yongxin Gu, Tianlong Gong, Chen School of Computer Science and Engineering Nanjing University of Science and Technology China Center for Advanced Intelligence Project RIKEN Japan State Key Laboratory of Complex & Critical Software Environment Beihang University China Jinan University China Department of Automation Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University China
Heterogeneity is a fundamental and challenging issue in federated learning, especially for the graph data due to the complex relationships among the graph nodes. To deal with the heterogeneity, lots of existing method... 详细信息
来源: 评论
Dynamic Effects on Traveling Wave Solutions of the Space-Fractional Long-Short-Wave Interaction System with Multiplicative White Noise
SSRN
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SSRN 2023年
作者: Peng, Chen Li, Zhao College of Computer Science Chengdu University Chengdu610106 China Key Laboratory of Pattern Recognition and Intelligent Information Processing Institutions of Higher Education of Sichuan Province Chengdu University 610106 China
In this paper, the stochastic space-fractional long-short-wave interaction system (SF-LSWIS) with multiplicative white noise is considered. The stochastic exact solutions including triangular function solutions, hyper... 详细信息
来源: 评论
Contour detection network simulating the primary visual pathway
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Digital Signal processing: A Review Journal 2025年 165卷
作者: Chen, Ke Fan, Yingle Fang, Tao Laboratory of Pattern Recognition and Image Processing Hangzhou Dianzi University Zhejiang Hangzhou310018 China
Biological vision exhibits exceptional contour perception capabilities. In view of this, research on contour detection guided by biological vision is gradually gaining attention. Inspired by the transmission and proce... 详细信息
来源: 评论
Similarity-based Attention Embedding Approach for Attributed Graph Clustering
Journal of Network Intelligence
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Journal of Network Intelligence 2022年 第4期7卷 848-861页
作者: Weng, Wei Li, Tong Liao, Jian-Chao Guo, Feng Chen, Fen Wei, Bo-Wen College of Computer and Information Engineering Xiamen University of Technology Fujian Key Laboratory of Pattern Recognition and Image Understanding Xiamen361024 China College of Computer and Information Engineering Xiamen University of Technology Xiamen361024 China Fujian Newland Auto-ID Tech. Co. Ltd Fuzhou350015 China Xiamen Fuyun Information Tech. Co. Ltd Xiamen361008 China
Graph clustering is a fundamental method for studying complex networks. Some existing approaches focus on the graph data without attributed information. However, graph data in the real world generally have attribute i... 详细信息
来源: 评论
CDFI: Cross Domain Feature Interaction for Robust Bronchi Lumen Detection
CDFI: Cross Domain Feature Interaction for Robust Bronchi Lu...
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IEEE International Conference on Robotics and Automation (ICRA)
作者: Jiasheng Xu Tianyi Zhang Yangqian Wu Jie Yang Guang–Zhong Yang Yun Gu Institute of Medical Robotics Shanghai Jiao Tong University Shanghai CHINA Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai CHINA MOE Key Laboratory of System Control and Information Processing Shanghai P.R. China Shanghai Center for Brain Science and Brain-Inspired Technology Shanghai China
Endobronchial intervention is increasingly used as a minimally invasive means for the treatment of pulmonary diseases. In order to reduce the difficulty of manipulation in complex airway networks, robust lumen detecti...
来源: 评论
NLFA: A Non Local Fusion Alignment Module for Multi-Scale Feature in Object Detection  3rd
NLFA: A Non Local Fusion Alignment Module for Multi-Scale Fe...
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3rd International Symposium on Automation, Mechanical and Design Engineering, SAMDE 2022
作者: Xue, Honghui Ma, Jinshan Cai, Zheyi Fu, Junfang Guo, Feng Weng, Wei Dong, Yunxin Zhang, Zhenchang College of Computer and Information Sciences Fujian Agriculture and Forestry University Fuzhou China Fujian Zhongke Zhongxin Intelligent Technology Co. Ltd Fuzhou China Fujian Newland Auto-ID Tech. Co. Ltd Fuzhou China Department of Computer and Information Engineering Xiamen University of Technology Xiamen China Fujian Key Laboratory of Pattern Recognition and Image Understanding Xiamen China
Recently, in order to pursue better detection results, more convolutional layers and deeper networks are a direction pursued by everyone. However, more and more down-sampling convolution or up-sampling operations gene... 详细信息
来源: 评论
Task-Oriented Multi-user Semantic Communication based on Deep Over-the-Air Computation
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IEEE Transactions on Vehicular Technology 2025年
作者: Wei, Shuangying Feng, Chunyan Guo, Caili Zhang, Biling Chen, Jiujiu Beijing University of Posts and Telecommunications Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing100876 China Nanchang Hangkong University Key Laboratory of Processing and Pattern Recognition of Jiangxi Province School of Information Engineering Nanchang330063 China
The presence of large-scale heterogeneous IoT devices and AI-based applications has brought significant transmission and computation pressure on the wireless communication system. In this paper, we propose a novel mul... 详细信息
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Online Lidar-Camera Extrinsic Parameters Self-Checking
SSRN
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SSRN 2023年
作者: Wei, Pengjin Yan, Guohang You, Xin Fang, Kun Ma, Tao Yang, Jie Liu, Wei Department of Automation Shanghai Jiao Tong University 800 Dongchuan RD Minhang District China Autonomous Driving Group Shanghai AI Laboratory 129 Longwen RD Xuhui District China Institute of Image Processing and Pattern Recognition China
With the development of neural networks and the increasing popularity of automatic driving, the calibration of the LiDAR and the camera has attracted more and more attention. This calibration task is multi-modal, wher... 详细信息
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Deep Learning in Palmprint recognition-A Comprehensive Survey
arXiv
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arXiv 2025年
作者: Gao, Chengrui Yang, Ziyuan Jia, Wei Leng, Lu Zhang, Bob Teoh, Andrew Beng Jin College of Computer Science Sichuan University Chengdu610065 China Singapore School of Computer and Information Hefei University of Technology Hefei China Jiangxi Provincial Key Laboratory of Image Processing and Pattern Recognition Nanchang Hangkong University Nanchang China Pattern Analysis and Machine Intelligence Group Department of Computer and Information Science University of Macau Taipa China School of Electrical and Electronic Engineering College of Engineering Yonsei University Seoul Korea Republic of
Palmprint recognition has emerged as a prominent biometric technology, widely applied in diverse scenarios. Traditional handcrafted methods for palmprint recognition often fall short in representation capability, as t... 详细信息
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Mushroom Classification Based on Deep Residual Network
Mushroom Classification Based on Deep Residual Network
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pattern recognition and Machine Learning (PRML), IEEE International Conference on
作者: Ju Feng Xufeng Ling Yubo Wang Jie Yang School of Artificial Intelligence Shanghai Normal University Tianhua College Shanghai China Shanghai Acoustics Laboratory Chinese Academy of Sciences Shanghai China Institute of Image Processing and Pattern Recognition and Institute of Medical Robotics Shanghai Jiaotong University Shanghai China
Due to the similarity in mushroom features and the difficulty in distinguishing between poisonous and nonpoisonous varieties, mushrooms pose a threat to human health. To address the challenge of mushroom classificatio...
来源: 评论