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检索条件"机构=Key Laboratory of Image Processing and Intelligent Control Ministry of Education"
1545 条 记 录,以下是131-140 订阅
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HyRSM++: Hybrid relation guided temporal set matching for few-shot action recognition
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Pattern Recognition 2024年 147卷
作者: Wang, Xiang Zhang, Shiwei Qing, Zhiwu Zuo, Zhengrong Gao, Changxin Jin, Rong Sang, Nong Key Laboratory of Ministry of Education for Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology China Alibaba Group China Meta AI United States
Few-shot action recognition is a challenging but practical problem aiming to learn a model that can be easily adapted to identify new action categories with only a few labeled samples. However, existing attempts still... 详细信息
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Structure-free containment control for uncertain underactuated multiple Euler-Lagrange systems
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Science China(Information Sciences) 2023年 第11期66卷 150-168页
作者: Housheng SU Yali WU Liren ZHANG Xia CHEN Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China School of Artificial Intelligence and Automation Huazhong University of Science and Technology State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology
This article studies the problem of structure-free distributed containment control for uncertain underactuated multiple Euler-Lagrange systems(MELSs) considering disturbances by using a layered approach. First, the se... 详细信息
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Revisiting Euclidean Alignment for Transfer Learning in EEG-Based Brain-Computer Interfaces
arXiv
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arXiv 2025年
作者: Wu, Dongrui Ministry of Education Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan430074 China Hubei Key Laboratory of Brain-inspired Intelligent Systems Huazhong University of Science and Technology Wuhan430074 China
Due to the non-stationarity and large individual differences of EEG signals, EEG-based brain-computer interfaces (BCIs) usually need subject-specific calibration to tailor the decoding algorithm for each new subject, ... 详细信息
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A New Island Genetic Algorithm for Path Planning Problems *
A New Island Genetic Algorithm for Path Planning Problems *
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2023 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2023
作者: Zhang, Jinghao Chen, Zhe Li, Ning Ministry of Education of China Key Laboratory of System Control and Information Processing Shanghai200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China Tsinghua University Department of Automation Beijing100084 China
Genetic algorithm (GA) is an effective method for path planning problems. As a powerful variant of GA, island genetic algorithm (IGA) has considerable improvement in performance. In this paper, a new island model of G... 详细信息
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Fusion-CAM: Fine-Grained and High-Faithfulness Explanations for Deep Convolutional Network via Hierarchical Fusion
Fusion-CAM: Fine-Grained and High-Faithfulness Explanations ...
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IEEE Advanced Information Technology, Electronic and Automation control Conference (IAEAC)
作者: Chen Zheng Wei Li School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China Image Processing and Intelligent Control Key Laboratory of the Education Ministry of China Wuhan China
The interpretability of the convolutional neural networks(CNNs) has become a research hotspot. A popular explanation method is based on Class Activation Mapping (CAM), which visualizes the salient regions most relevan...
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HTRNN: A New Protein Nuclear Localization Prediction Tool
HTRNN: A New Protein Nuclear Localization Prediction Tool
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IEEE Advanced Information Technology, Electronic and Automation control Conference (IAEAC)
作者: Xinyu Miao Wei Li School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China Image Processing and Intelligent Control Key Laboratory of the Education Ministry of China Wuhan China
Current protein nuclear localization assays encounter multiple challenges that underscore the constraints of conventional biochemical assays and sequence-based procedures. This paper highlights the emerging interest i...
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Soft Robotics:Morphology and Morphology-inspired Motion Strategy
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IEEE/CAA Journal of Automatica Sinica 2021年 第9期8卷 1500-1522页
作者: Fan Xu Hesheng Wang Department of Automation Institute of Medical RoboticsKey Laboratory of System Control and Information Processing of Ministry of EducationShanghai Jiao Tong UniversityShanghai 200240China Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Jiao Tong UniversityShanghai 200240China
Robotics has aroused huge attention since the *** of the uniqueness that industrial applications exhibit,conventional rigid robots have displayed noticeable limitations,particularly in safe cooperation as well as with... 详细信息
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Learning Second-Order Attentive Context for Efficient Correspondence Pruning
arXiv
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arXiv 2023年
作者: Ye, Xinyi Zhao, Weiyue Lu, Hao Cao, Zhiguo Key Laboratory of Image Processing and Intelligent Control Ministry of Education School of Artificial Intelligence and Automation Huazhong University of Science and Technology China
Correspondence pruning aims to search consistent correspondences (inliers) from a set of putative correspondences. It is challenging because of the disorganized spatial distribution of numerous outliers, especially wh... 详细信息
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A Dual-branch Model for Early Detection of Alzheimer’s Disease Using Resting-State fMRI
A Dual-branch Model for Early Detection of Alzheimer’s Dise...
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IEEE Advanced Information Technology, Electronic and Automation control Conference (IAEAC)
作者: Yixuan Wang Wei Li School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China Image Processing and Intelligent Control Key Laboratory of the Education Ministry of China Wuhan China
Alzheimer’s disease (AD) is the most prevalent form of dementia, and early diagnosis is crucial for delaying and treating AD. Resting-state functional magnetic resonance imaging (rs-fMRI), a widely used medical imagi...
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Federated Multitask Learning for HyperFace
IEEE Transactions on Artificial Intelligence
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IEEE Transactions on Artificial Intelligence 2022年 第5期3卷 788-797页
作者: Zhang, Chen Bai, Hang Zhang, Yonggang Niu, Xinyi Yu, Bin Gao, Yuan Xie, Yu Xidian University School of Computer Science and Technology Xi'an710071 China Shaanxi Province Science and Technology Resources Coordination Center Xi'an710071 China Xidian University Key Laboratory of Intelligent Perception and Image Understanding Ministry of Education Xi'an710071 China Shanxi University Key Laboratory of Computational Intelligence and Chinese Information Processing Ministry of Education Taiyuan030006 China
Multitask learning (MTL) is a promising field in machine learning owing to its capability to improve the generalization performance of all tasks by sharing knowledge among the related tasks. MTL has attracted a large ... 详细信息
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