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检索条件"机构=Key Lab for Image Processing & Intelligent Control"
3832 条 记 录,以下是331-340 订阅
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An Aggregated Convolutional Transformer Based on Slices and Channels for Multivariate Time Series Classification
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IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE 2023年 第3期7卷 768-779页
作者: Wu, Yupeng Lian, Cheng Zeng, Zhigang Xu, Bingrong Su, Yixin Wuhan Univ Technol Sch Automat Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Wuhan Peoples R China Educ Minist China Key Lab Image Proc & Intelligent Control Wuhan Peoples R China
Convolutional neural network has achieved remarkable success, and has excellent local feature extraction ability. Similarly, Transformer has been developed markedly in recent years, achieving excellent representation ... 详细信息
来源: 评论
Discrete-Time controllability of Cartesian Product Networks
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IEEE TRANSACTIONS ON SIGNAL AND INFORMATION processing OVER NETWORKS 2024年 10卷 868-880页
作者: Liu, Bo Hu, Mengjie Huang, Junjie Zhang, Qiang Chen, Yin Su, Housheng Minzu Univ China Sch Informat Engn Minist Educ Key Lab Intelligent Anal & Secur Gover Beijing 100081 Peoples R China Inner Mongolia Univ Sch Math Sci Hohhot 010021 Peoples R China Univ Strathclyde Dept Elect & Elect Engn Glasgow City G1 1XW Scotland Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Image Proc & Intelligent Control Key Lab Educ Mini Autonomous Intelligent Unmanned Syst Engn Res Ctr Wuhan Peoples R China
This work studies the discrete-time controllability of a composite network formed by factor networks via Cartesian products. Based on the Popov-Belevitch-Hautus test and properties of Cartesian products, we derive the... 详细信息
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CRNet: A Fast Continual Learning Framework With Random Theory
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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2023年 第9期45卷 10731-10744页
作者: Li, Depeng Zeng, Zhigang Sch Artificial Intelligence & Automat Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Inst Artificial Intelligence Wuhan 430074 Peoples R China Minist China Key Lab Image Proc & Intelligent Control Educ Wuhan 430074 Peoples R China
Artificial neural networks are prone to suffer from catastrophic forgetting. Networks trained on something new tend to rapidly forget what was learned previously, a common phenomenon within connectionist models. In th... 详细信息
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Improved genetic algorithm based on time windows decomposition for solving resource-constrained project scheduling problem
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AUTOMATION IN CONSTRUCTION 2022年 第0期142卷
作者: Hua, Zhengming Liu, Zhenyuan Yang, Lijing Yang, Liu Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Wuhan 430074 Peoples R China Educ Minist Image Proc & Intelligent Control Key Lab Wuhan 430074 Peoples R China
The resource-constrained project scheduling problem (RCPSP) is one of the project scheduling problems which are widely used in construction and many industrial disciplines. The challenge of the problem is to design so... 详细信息
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Finite-Time Output Synchronization for Output-Coupled Reaction-Diffusion Neural Networks With Directed Topology
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IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING 2022年 第3期9卷 1386-1394页
作者: Qiu, Qian Su, Housheng Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Hongshan 430074 Peoples R China Key Lab Image Proc & Intelligent Control Educ Min Wuhan 430074 Peoples R China
For output-coupled reaction-diffusion neural networks (RDNNs), the finite-time output synchronization (FTOS) issue is researched under directed topology in this paper. By virtue of the Lyapunov approach, inequality sk... 详细信息
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ParamCrop: Parametric Cubic Cropping for Video Contrastive Learning
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IEEE TRANSACTIONS ON MULTIMEDIA 2023年 25卷 9002-9014页
作者: Qing, Zhiwu Huang, Ziyuan Zhang, Shiwei Tang, Mingqian Gao, Changxin Jin, Rong Ang Jr, Marcelo H. Sang, Nong Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China Natl Univ Singapore Adv Robot Ctr Singapore 119077 Singapore Alibaba Grp Hangzhou 311100 Peoples R China
The central idea of contrastive learning is to discriminate between different instances and force different views from the same instance to share the same representation. To avoid trivial solutions, augmentation plays... 详细信息
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Distributed predefined-time algorithms for optimal solution seeking in multi-agent systems subject to input disturbances
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AUTOMATICA 2025年 174卷
作者: Xu, Jing-Zhe Liu, Zhi-Wei Ge, Ming-Feng Yang, Tao Chi, Ming He, Dingxin Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Minist Educ Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Key Lab Image Proc & Intelligent Control Minist Educ Wuhan 430074 Peoples R China China Univ Geosci Sch Mech Engn & Elect Informat Wuhan 430074 Peoples R China Northeastern Univ State Key Lab Synthet Automat Proc Ind Shenyang 110819 Peoples R China
This paper presents a novel incremental consensus-based algorithm for solving a class of distributed optimization problems in multi-agent systems, considering input disturbances, equality constraints, and box constrai... 详细信息
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Optimal Decisions in the Closed-Loop Supply Chain considering Capacity Constraints and Stochastic Demand under the Cap-and-Trade Regulation
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COMPLEXITY 2022年 第0期2022卷
作者: Wang, Jian Shao, Wenxuan Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Wuhan 430074 Peoples R China Minist Educ Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China
In the current context of resource scarcity and increased pollution, enterprises need to better allocate capacity and achieve carbon emission reduction. We examine the optimal decision problem for a closed-loop supply... 详细信息
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Multi-Task Affinity Propagation Based Natural image Matting
Multi-Task Affinity Propagation Based Natural Image Matting
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IEEE International Conference on image processing
作者: Renkai Zhang Nong Sang School of Artificial Intelligence and Automation Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology China
image matting, aiming to accurately extract foreground objects by estimating their opacity against the background, has made remarkable progress through deep-learning approaches. Nevertheless, the majority of these met... 详细信息
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Estimation and Utilization of the Geomagnetic Field Inhomogeneities Using the Relaxation Characteristics of the FID Signal in an Overhauser Magnetometer
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IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2024年 73卷 1页
作者: Luo, Wang Hu, Xiangyun Dong, Haobin Ge, Jian Liu, Lichao Feng, Ke Zhang, Yongchao Huang, Lishan She, Jinhua China Univ Geosci Sch Geophys & Geomat Wuhan 430074 Peoples R China Hubei Subsurface Multiscale Image Key Lab Wuhan 430074 Peoples R China China Univ Geosci Sch Automat Wuhan 430074 Peoples R China Hubei Key Lab Adv Control & Intelligent Automat Co Wuhan 430074 Peoples R China Minist Educ Engn Res Ctr Intelligent Technol Geoexplorat Wuhan 430074 Peoples R China Univ British Columbia Sch Engn Kelowna BC Canada
Accurate measurement of geomagnetic field inhomogeneity commonly necessitates the use of two or more magnetic sensors for differential measurements, and most of the geomagnetic sensors are unusable in large inhomogene... 详细信息
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