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检索条件"主题词=Variational autoencoder"
1534 条 记 录,以下是311-320 订阅
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MC-RVAE: Multi-channel recurrent variational autoencoder for multimodal Alzheimer's disease progression modelling
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NEUROIMAGE 2023年 268卷 119892-119892页
作者: Marti-Juan, Gerard Lorenzi, Marco Piella, Gemma Univ Pompeu Fabra Dept Tecnol Informacio & Comunicac BCN MedTech Barcelona Spain Univ Cote Azur Epione Res Project Inria Sophia Antipolis Nice France
The progression of neurodegenerative diseases, such as Alzheimer's Disease, is the result of complex mechanisms interacting across multiple spatial and temporal scales. Understanding and predicting the longitudina... 详细信息
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Interpretation for variational autoencoder Used to Generate Financial Synthetic Tabular Data
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ALGORITHMS 2023年 第2期16卷 121-121页
作者: Wu, Jinhong Plataniotis, Konstantinos Liu, Lucy Amjadian, Ehsan Lawryshyn, Yuri Univ Toronto Dept Chem Engn & Appl Chem Toronto ON M5S 3E5 Canada Univ Toronto Dept Elect & Comp Engn Toronto ON M5S 3G4 Canada Royal Bank Canada Toronto ON M5J 0B6 Canada Univ Waterloo David R Cheriton Sch Comp Sci Toronto ON N2L 3G1 Canada
Synthetic data, artificially generated by computer programs, has become more widely used in the financial domain to mitigate privacy concerns. variational autoencoder (VAE) is one of the most popular deep-learning mod... 详细信息
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Modeling Cycle-to-Cycle Variations of a Spark-Ignited Gas Engine Using Artificial Flow Fields Generated by a variational autoencoder
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ENERGIES 2022年 第7期15卷 2325页
作者: Posch, Stefan Goessnitzer, Clemens Ofner, Andreas B. Pirker, Gerhard Wimmer, Andreas LEC GmbH Inffeldgasse 19 A-8010 Graz Austria Graz Univ Technol Know Ctr GmbH Inffeldgasse 13 A-8010 Graz Austria Graz Univ Technol Inst Thermodynam & Sustainable Prop Syst Inffeldgasse 19 A-8010 Graz Austria
A deeper understanding of the physical nature of cycle-to-cycle variations (CCV) in internal combustion engines (ICE) as well as reliable simulation strategies to predict these CCV are indispensable for the developmen... 详细信息
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variational autoencoder Based Fault Detection and Location Method for Power Distribution Network  8
Variational Autoencoder Based Fault Detection and Location M...
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8th International Conference on Condition Monitoring and Diagnosis (CMD)
作者: Wang, Xuhong Cui, Ping Du, Ying Yang, Yupu Shanghai Jiao Tong Univ Dept Automat Minist Educ Key Lab Syst Control & Informat Proc Shanghai Peoples R China Shanghai Jiao Tong Univ Dept Elect Engn State Energy Smart Grid R&D Ctr Shanghai Peoples R China
With the rapid development of the world economy and the continuous improvement of people's living standards, users put forward higher requirements for the quality and reliability of the power system. As a represen... 详细信息
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HiCoVA: Hierarchical Conditional variational autoencoder for Keyphrase Generation  21
HiCoVA: Hierarchical Conditional Variational Autoencoder for...
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30th ACM International Conference on Information and Knowledge Management (CIKM)
作者: Santosh, T. Y. S. S. Reddy, Nikhil, V Anoop, V Sanyal, Debarshi Kumar Das, Partha Pratim Microsoft Hyderabad India IIT Kharagpur Kharagpur India Indian Assoc Cultivat Sci Kolkata India
The task of keyphrase generation, unlike extraction, aims to generate the phrases which succinctly capture the key information of the source text, that are even absent in the document (i.e., do not match any contiguou... 详细信息
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Learning to Model the Grasp Space of an Underactuated Robot Gripper Using variational autoencoder  19
Learning to Model the Grasp Space of an Underactuated Robot ...
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19th IFAC Symposium on System Identification (SYSID)
作者: Rolinat, Clement Grossard, Mathieu Aloui, Saifeddine Godin, Christelle Univ Paris Saclay LIST CEA F-91120 Palaiseau France Univ Grenoble Alpes Leti CEA F-38000 Grenoble France
Grasp planning and most specifically the grasp space exploration is still an open issue in robotics. This article presents a data-driven oriented methodology to model the grasp space of a multi-fingered adaptive gripp... 详细信息
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LSTMVAEF: Vivid Layout via LSTM-Based variational autoencoder Framework  16th
LSTMVAEF: Vivid Layout via LSTM-Based Variational Autoencode...
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16th IAPR International Conference on Document Analysis and Recognition (ICDAR)
作者: He, Jie Wu, Xingjiao Hu, Wenxin Yang, Jing East China Normal Univ Shanghai Peoples R China
The lack of training data is still a challenge in the Document Layout Analysis task (DLA). Synthetic data is an effective way to tackle this challenge. In this paper, we propose an LSTM-based variational autoencoder f... 详细信息
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GF-VAE: A Flow-based variational autoencoder for Molecule Generation  21
GF-VAE: A Flow-based Variational Autoencoder for Molecule Ge...
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30th ACM International Conference on Information and Knowledge Management (CIKM)
作者: Ma, Changsheng Zhang, Xiangliang King Abdullah Univ Sci & Technol Jeddah Saudi Arabia
Generating novel molecules with desired properties is a fundamental problem in modern drug discovery. This is a challenging problem because it requires the optimization of the given objectives while obeying the rules ... 详细信息
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Radar Image Reconstruction from Raw ADC Data using Parametric variational autoencoder with Domain Adaptation  25
Radar Image Reconstruction from Raw ADC Data using Parametri...
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25th International Conference on Pattern Recognition (ICPR)
作者: Stephan, Michael Stadelmayer, Thomas Santra, Avik Fischer, Georg Weigel, Robert Lurz, Fabian Infineon Technol AG Neubiberg Germany Friedrich Alexander Univ Erlangen Nuremberg Erlangen Germany
This paper presents a parametric variational autoencoder-based human target detection and localization framework working directly with the raw analog-to-digital converter data from the frequency modulated continuous w... 详细信息
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variational autoencoder Anomaly-Detection of Avalanche Deposits in Satellite SAR Imagery  10
Variational Autoencoder Anomaly-Detection of Avalanche Depos...
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10th International Conference on Climate Informatics (CI)
作者: Sinha, Saumya Giffard-Roisin, Sophie Karbou, Fatima Deschatres, Michael Karas, Anna Eckert, Nicolas Coleou, Cecile Monteleoni, Claire Univ Colorado Boulder CO 80309 USA Univ Grenoble Alpes ISTerre Univ Savoie Mt Blanc CNRSIRDIFSTTAR Grenoble France Meteo France CNRM GAME Grenoble France Univ Grenoble Alpes Irstea Grenoble France
This work demonstrates that deep unsupervised learning holds much promise for rare event detection, even when labeled data is limited. Rare event detection is challenging for traditional supervised learning approaches... 详细信息
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