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检索条件"机构=Key Laboratory for Image Processing and Intelligent control"
3176 条 记 录,以下是31-40 订阅
排序:
Semisupervised Transfer Boosting (SS-TrBoosting)
IEEE Transactions on Artificial Intelligence
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IEEE Transactions on Artificial Intelligence 2024年 第7期5卷 3431-3444页
作者: Deng, Lingfei Zhao, Changming Du, Zhenbang Xia, Kun Wu, Dongrui Key Laboratory of Image Processing and Intelligent Control Ministry of Education School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan 430074 China and also with Shenzhen Huazhong University of Science and Technology Research Institute Shenzhen 518063 China
Semisupervised domain adaptation (SSDA) aims at training a high-performance model for a target domain using few labeled target data, many unlabeled target data, and plenty of auxiliary data from a source domain. Previ... 详细信息
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Prescribed-Time Stabilization of Singularly Perturbed Systems
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IEEE/CAA Journal of Automatica Sinica 2023年 第2期10卷 569-571页
作者: Yan Lei Yan-Wu Wang Xiao-Kang Liu Wu Yang the School of Artificial Intelligence and Automation Huazhong University of Science and Technology(HUST)Wuhan 430074 Key Laboratory of Image Processing and Intelligent Control Ministry of EducationWuhan 430074China the School of Electrical Engineering Guangxi UniversityNanning 530004China
Dear Editor, This letter investigates the prescribed-time stabilization of linear singularly perturbed systems. Due to the numerical issues caused by the small perturbation parameter, the off-the-shelf control design ... 详细信息
来源: 评论
Portrait Matting via Semantic and Detail Guidance  1
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7th Asian Conference on Pattern Recognition, ACPR 2023
作者: Wang, Deming Gao, Changxin Sang, Nong Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China
Portrait matting is a challenging computer vision task that aims to estimate the per-pixel opacity of the foreground human regions. To produce high-quality alpha mattes, the majority of available methods employ a user... 详细信息
来源: 评论
Applications of artificial intelligence to lipid nanoparticle delivery
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Particuology 2024年 第7期90卷 88-97页
作者: Ye Yuan Yuqi Wu Jiabei Cheng Kaiyuan Yang Yilin Xia Hongguang Wu Xiaoyong Pan Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong UniversityKey Laboratory of System Control and Information ProcessingMinistry of Education of ChinaChina Songjiang Research Institute Songjiang District Central HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
Lipid nanoparticles(LNPs)are nanocarriers composed of four lipid components and can be used for gene therapy,protein replacement,and vaccine ***,LNPs also face several challenges,such as toxicity,immune activation,and... 详细信息
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Cognitive Navigation for intelligent Mobile Robots:A Learning-Based Approach With Topological Memory Configuration
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IEEE/CAA Journal of Automatica Sinica 2024年 第9期11卷 1933-1943页
作者: Qiming Liu Xinru Cui Zhe Liu Hesheng Wang Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China MoE Key Laboratory of Artificial Intelligence AI InstituteShanghai Jiao Tong UniversityShanghai 200240China Department of Automation Key Laboratory of System Control and Information Processing of Ministry of EducationKey Laboratory of Marine Intelligent Equipment and System of Ministry of EducationShanghai Engineering Research Center of Intelligent Control and ManagementShanghai Jiao Tong UniversityShanghai 200240China
Autonomous navigation for intelligent mobile robots has gained significant attention,with a focus on enabling robots to generate reliable policies based on maintenance of spatial *** this paper,we propose a learning-b... 详细信息
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HTRNN: A New Protein Nuclear Localization Prediction Tool  7
HTRNN: A New Protein Nuclear Localization Prediction Tool
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7th IEEE Advanced Information Technology, Electronic and Automation control Conference, IAEAC 2024
作者: Miao, Xinyu Li, Wei Huazhong University of Science and Technology School of Artificial Intelligence and Automation 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... 详细信息
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Fusion-CAM: Fine-Grained and High-Faithfulness Explanations for Deep Convolutional Network via Hierarchical Fusion  7
Fusion-CAM: Fine-Grained and High-Faithfulness Explanations ...
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7th IEEE Advanced Information Technology, Electronic and Automation control Conference, IAEAC 2024
作者: Zheng, Chen Li, Wei Huazhong University of Science and Technology School of Artificial Intelligence and Automation 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... 详细信息
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A Dual-branch Model for Early Detection of Alzheimer's Disease Using Resting-State fMRI  7
A Dual-branch Model for Early Detection of Alzheimer's Disea...
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7th IEEE Advanced Information Technology, Electronic and Automation control Conference, IAEAC 2024
作者: Wang, Yixuan Li, Wei Huazhong University of Science and Technology School of Artificial Intelligence and Automation 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 im... 详细信息
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Spatiality-Aligned Graph Convolution Hashing for Unsupervised Cross-Modal Retrieval  2
Spatiality-Aligned Graph Convolution Hashing for Unsupervise...
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2nd IEEE International Conference on Signal, Information and Data processing, ICSIDP 2024
作者: Li, Fang Dai, Liulian Lan, Rushi Yang, Rui Luo, Xiaonan Guangxi Key Laboratory of Image and Graphic Intelligent Processing School of Computer Science and Information Security Guilin541004 China
Unsupervised cross-modal retrieval leveraging hash learning has attracted a lot of interest from academics, primarily due to its minimal storage requirements, swift retrieval speeds, and label-free nature, making it a... 详细信息
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image Sample Generation of Stator Surface Defects Based on Layer Mask Blending Generative Adversarial Network  23
Image Sample Generation of Stator Surface Defects Based on L...
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9th International Conference on Computing and Artificial Intelligence, ICCAI 2023
作者: Li, Wenzheng Tian, Lihua Sun, Zhigang Xiao, Li School of Artificial Intelligence and Automation Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan430074 China
In industrial production processes, defect inspection plays an important role in reducing the occurrence of failures and improving production efficiency. Data-driven algorithms represented by deep learning have made g... 详细信息
来源: 评论