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检索条件"主题词=Variational autoencoder"
1542 条 记 录,以下是1291-1300 订阅
Cardiac Segmentation With Strong Anatomical Guarantees
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IEEE TRANSACTIONS ON MEDICAL IMAGING 2020年 第11期39卷 3703-3713页
作者: Painchaud, Nathan Skandarani, Youssef Judge, Thierry Bernard, Olivier Lalande, Alain Jodoin, Pierre-Marc Univ Sherbrooke Dept Comp Sci Sherbrooke PQ J1K 2R1 Canada Univ Bourgogne Franche Comte ImVIA Lab F-21078 Dijon France CASIS F-21000 Dijon France Univ Claude Bernard Lyon 1 Univ Lyon INSA Lyon CNRSUJM St EtienneINSERMCREATISUMR 5220U1206 F-69621 Lyon France
Convolutional neural networks (CNN) have had unprecedented success in medical imaging and, in particular, in medical image segmentation. However, despite the fact that segmentation results are closer than ever to the ... 详细信息
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A VAE Conversion Method for Private Data Linkage  26
A VAE Conversion Method for Private Data Linkage
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26th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC)
作者: Tai, Bo-Chen Li, Szu-Chuang Huang, Yennun Acad Sinica Res Ctr Informat Technol Innovat Taipei Taiwan Tamkang Univ Dept Informat Commun New Taipei Taiwan
Data linkage plays a crucial role in realizing big data's value but is often regarded as a threat to personal privacy. Regulations like GDPR requires users' consent on each specific use of data, which is not p... 详细信息
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A Preliminary Study of a Two-Stage Paradigm for Preserving Speaker Identity in Dysarthric Voice Conversion  22
A Preliminary Study of a Two-Stage Paradigm for Preserving S...
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Interspeech Conference
作者: Huang, Wen-Chin Kobayashi, Kazuhiro Peng, Yu-Huai Liu, Ching-Feng Tsao, Yu Wang, Hsin-Min Toda, Tomoki Nagoya Univ Nagoya Aichi Japan Acad Sinica Taipei Taiwan Chi Mei Hosp Tainan Taiwan
We propose a new paradigm for maintaining speaker identity in dysarthric voice conversion (DVC). The poor quality of dysarthric speech can be greatly improved by statistical VC, but as the normal speech utterances of ... 详细信息
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Deep probabilistic time series forecasting using augmented recurrent input for dynamic systems
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MECHANICAL SYSTEMS AND SIGNAL PROCESSING 2022年 177卷 1页
作者: Liu, Haitao Liu, Changjun Jiang, Xiaomo Chen, Xudong Yang, Shuhua Wang, Xiaofang Dalian Univ Technol Sch Energy & Power Engn Dalian 116024 Peoples R China Dalian Univ Technol Digital Twin Lab Ind Equipment Dalian 116024 Peoples R China Shenyang Blower Works Grp Corp Shenyang 110869 Peoples R China
The demand of probabilistic time series forecasting has been recently raised in various dynamic system scenarios, for example, system identification and prognostic and health management of machines. To this end, we co... 详细信息
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Spatio-Temporal Hourly and Daily Ozone Forecasting in China Using a Hybrid Machine Learning Model: autoencoder and Generative Adversarial Networks
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JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS 2022年 第3期14卷
作者: Cheng, Meiling Fang, Fangxin Navon, Ionel M. Zheng, Jie Tang, Xiao Zhu, Jiang Pain, Christopher Imperial Coll London Dept Earth Sci & Engn Appl Modelling & Computat Grp London England Florida State Univ Dept Sci Comp Tallahassee FL 32306 USA Chinese Acad Sci Ctr Excellence Reg Atmospher Environm Inst Urban Environm Xiamen Peoples R China Chinese Acad Sci Int Ctr Climate & Environm Sci Inst Atmospher Phys Beijing Peoples R China
Efficient and accurate real-time forecasting of national spatial ozone distribution is critical to the provision of effective early warning. Traditional numerical air quality models require a high computational cost a... 详细信息
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Regularizing variational autoencoders for Molecular Graph Generation  1
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26th International Conference on Neural Information Processing (ICONIP) of the Asia-Pacific-Neural-Network-Society (APNNS)
作者: Li, Xin Lyu, Xiaoqing Zhang, Hao Hu, Keqi Tang, Zhi Peking Univ Beijing Peoples R China Beijing Inst Technol Beijing Peoples R China China Univ Min & Technol Beijing Peoples R China
Deep generative models for graphs are promising for being able to sidestep expensive search procedures in the huge space of chemical compounds. However, incorporating complex and non-differentiable property metrics in... 详细信息
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Near-Real-Time Identification of Seismic Damage Using Unsupervised Deep Neural Network
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JOURNAL OF ENGINEERING MECHANICS 2022年 第3期148卷
作者: Kim, Minkyu Song, Junho Seoul Natl Univ Dept Civil & Environm Engn Seoul 08826 South Korea
Prompt identification of structural damage is essential for effective postdisaster responses. To this end, this paper proposes a deep neural network (DNN)-based framework to identify seismic damage based on structural... 详细信息
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Handling information loss of graph convolutional networks in collaborative filtering
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INFORMATION SYSTEMS 2022年 109卷
作者: Xiong, Xin Li, XunKai Hu, YouPeng Wu, YiXuan Yin, Jian Nanjing Univ Sch Artificial Intelligence 163 Xianlin Ave Nanjing Jiangsu Peoples R China Shandong Univ Sch Mech Elect & Informat Engn 180 Wenhua West Rd Weihai Shandong Peoples R China Zhejiang Univ Polytech Inst 269 Shixiang Rd Hangzhou Zhejiang Peoples R China
Collaborative filtering (CF) methods based on graph convolutional network (GCN) and autoencoder (AE) achieve outstanding performance. But the GCN-based CF methods suffer from information loss problems, which are cause... 详细信息
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Deep generative modelling of aircraft trajectories in terminal maneuvering areas
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MACHINE LEARNING WITH APPLICATIONS 2023年 11卷
作者: Krauth, Timothe Lafage, Adrien Morio, Jerome Olive, Xavier Waltert, Manuel Zurich Univ Appl Sci Ctr Aviat Winterthur Switzerland Univ Toulouse ONERA DTIS F-31055 Toulouse France Tech str 71 CH-8400 Winterthur Switzerland
Airspace design is subject to a multitude of constraints, which are mainly driven by the concern to keep the risk of mid-air collision below a target level of safety. For that purpose, Monte Carlo simulation methods c... 详细信息
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Graph Regularized variational Ladder Networks for Semi-Supervised Learning
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IEEE ACCESS 2020年 8卷 206280-206288页
作者: Hu, Cong Song, Xiao-Ning Jiangnan Univ Sch Artificial Intelligence & Comp Sci Wuxi 214122 Jiangsu Peoples R China Jiangnan Univ Jiangsu Prov Engn Lab Pattern Recognit & Computat Wuxi 214122 Jiangsu Peoples R China Minjiang Univ Fujian Prov Key Lab Informat Proc & Intelligent C Fuzhou 350121 Peoples R China
To tackle the problem of semi-supervised learning (SSL), we propose a new autoencoder-based deep model. Ladder networks (LN) is an autoencoder-based method for representation learning which has been successfully appli... 详细信息
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