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检索条件"机构=Computer Science and Aritificial Intelligence Laboratory"
6 条 记 录,以下是1-10 订阅
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Collaborative measurements of upload speeds in P2P systems
Collaborative measurements of upload speeds in P2P systems
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IEEE INFOCOM 2010
作者: Douceur, John R. Mickens, James Moscibroda, Thomas Panigrahi, Debmalya Distributed Systems Research Group Microsoft Research Redmond WA United States Computer Science and Aritificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge MA United States
In this paper, we study the theory of collaborative upload bandwidth measurement in peer-to-peer environments. A host can use a bandwidth estimation probe to determine the bandwidth between itself and any other host i... 详细信息
来源: 评论
Multi-scale convolutional neural networks for brain disease diagnosis
Multi-scale convolutional neural networks for brain disease ...
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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023
作者: Hu, Zhongyi Gao, Libin Tong, Yinsheng Lu, Xingjin Li, Rui Xiao, Lei Li, Zuoyong Wenzhou University College of Computer Science and Aritificial Intelligence Wenzhou325035 China Key Laboratory of Intelligent Image Processing and Analysis Wenzhou China Minjiang University College of Computer and Control Engineering Fuzhou China
The brain is the most sophisticated and complex organ in the human body. Nowadays, diagnosing complex and diverse brain diseases is a hot topic. Alzheimer's Disease (AD), Autism Spectrum Disorder (ASD), and others... 详细信息
来源: 评论
Alzheimer’s Disease Diagnosis Based on Collaborative Learning Augmented Algorithms  18th
Alzheimer’s Disease Diagnosis Based on Collaborative Learn...
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18th Chinese Intelligent Systems Conference, CISC 2022
作者: Gao, Libin Hu, Zhongyi Li, Zuoyong Lu, Xingjin Li, Rui Tong, Yinsheng Lin, Dehou College of Computer Science and Aritificial Intelligence Wenzhou University Wenzhou325035 China Key Laboratory of Intelligent Image Processing and Analysis Wenzhou325035 China College of Computer and Control Engineering Minjiang University Fuzhou350108 China
In this study, a novel training method is innovatively proposed to address the problem of poor generalisation of trained models due to imbalance in Alzheimer’s disease (AD) data. The method alternates AD image data w... 详细信息
来源: 评论
Multi-scale convolutional neural networks for brain disease diagnosis
Multi-scale convolutional neural networks for brain disease ...
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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Zhongyi Hu Libin Gao Yinsheng Tong Xingjin Lu Rui Li Lei Xiao Zuoyong Li College of Computer Science and Aritificial Intelligence Wenzhou University Wenzhou China Key Laboratory of Intelligent Image Processing and Analysis Wenzhou China College of Computer and Control Engineering Minjiang University Fuzhou China
The brain is the most sophisticated and complex organ in the human body. Nowadays, diagnosing complex and diverse brain diseases is a hot topic. Alzheimer's Disease (AD), Autism Spectrum Disorder (ASD), and others...
来源: 评论
Learning Robust Facial Landmark Detection via Hierarchical Structured Ensemble
Learning Robust Facial Landmark Detection via Hierarchical S...
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International Conference on computer Vision (ICCV)
作者: Xu Zou Sheng Zhong Luxin Yan Xiangyun Zhao Jiahuan Zhou Ying Wu College of Life Science and Technology Huazhong University of Science & Technology (HUST) Wuhan China National Key Laboratory of Science & Technology on Multi-Spectral Information Processing HUST Wuhan China School of Aritificial Intelligence and Automation HUST Wuhan China Department of Electrical and Computer Engineering Northwestern University IL USA
Heatmap regression-based models have significantly advanced the progress of facial landmark detection. However, the lack of structural constraints always generates inaccurate heatmaps resulting in poor landmark detect... 详细信息
来源: 评论
Collaborative Measurements of Upload Speeds in P2P Systems
Collaborative Measurements of Upload Speeds in P2P Systems
收藏 引用
2010 Proceedings IEEE INFOCOM
作者: John R. Douceur James Mickens Thomas Moscibroda Debmalya Panigrahi Distributed Systems Research Group Microsoft Research Redmond WA Computer Science and Aritificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge MA
In this paper, we study the theory of collaborative upload bandwidth measurement in peer-to-peer environments. A host can use a bandwidth estimation probe to determine the bandwidth between itself and any other host i... 详细信息
来源: 评论