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检索条件"主题词=variational autoencoder"
1537 条 记 录,以下是671-680 订阅
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Interpreting variational autoencoders with Fuzzy Logic: A step towards interpretable deep learning based fuzzy classifiers
Interpreting Variational Autoencoders with Fuzzy Logic: A st...
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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
作者: Bolat, Kutay Kumbasar, Tufan Istanbul Tech Univ Dept Control & Automat Engn Istanbul Turkey
The emerging success of Deep Learning (DL) in various application areas comes also with the questions starting with "How"s and "Why"s. These questions can be answered if the DL methods are interpre... 详细信息
来源: 评论
Sequential Segment-based Level Generation and Blending using variational autoencoders  20
Sequential Segment-based Level Generation and Blending using...
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15th International Conference on the Foundations of Digital Games
作者: Sarkar, Anurag Cooper, Seth Northeastern Univ Boston MA 02115 USA
Existing methods of level generation using latent variable models such as VAEs and GANs do so in segments and produce the final level by stitching these separately generated segments together. In this paper, we build ... 详细信息
来源: 评论
Data Augmentation and Recognition for Plunger Lift Based on variational autoencoders  6
Data Augmentation and Recognition for Plunger Lift Based on ...
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6th International Conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2024
作者: Xu, Zhiyu Lin, Hai Jia, Yujiang Du, Jing Mao, Jianjun Zhu, Jianjun Chen, Jun Li, Fangming Li, Nan Petro China Qinghai Oilfield Dunhuang China China University of Petroleum Beijing China Research Institute of Petroleum Exploration & Development Beijing China
Plunger lift technology effectively addresses liquid loading issues in the later stages of natural gas well production. With the continuous development of artificial intelligence technology, the rapid identification o... 详细信息
来源: 评论
Differentially Private Synthetic Data Generation via Lipschitz-Regularised variational autoencoders  9
Differentially Private Synthetic Data Generation via Lipschi...
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9th IEEE Smart World Congress, SWC 2023
作者: Gros, Benedikt Wunder, Gerhard Freie Universität Department of Computer Science Berlin Germany
Synthetic data has been hailed as the silver bullet for privacy preserving data analysis. If a record is not real, then how could it violate a person's privacy? In addition, deep-learning based generative models a... 详细信息
来源: 评论
Learning Physically Meaningful Representations of Energy Systems with variational autoencoders  27
Learning Physically Meaningful Representations of Energy Sys...
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IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)
作者: Multaheb, Samim Bauer, Fabian Bretschneider, Peter Niggemann, Oliver Helmut Schmidt Univ Inst Automat Technol Hamburg Germany Ilmenau Univ Technol Inst Elect Power & Control Engn Ilmenau Germany
Given the growing number of volatile energy producers and consumers and the limitations of traditional static load prediction models, we have analyzed the ability of neural networks to predict the loads of an electric... 详细信息
来源: 评论
TRANSFER LEARNING FROM SYNTHETIC TO REAL IMAGES USING variational autoencoderS FOR PRECISE POSITION DETECTION  25
TRANSFER LEARNING FROM SYNTHETIC TO REAL IMAGES USING VARIAT...
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25th IEEE International Conference on Image Processing (ICIP)
作者: Inoue, Tadanobu Chaudhury, Subhajit De Magistris, Giovanni Dasgupta, Sakyasingha IBM Res Tokyo Japan Ascent Robot Inc Tokyo Japan
Capturing and labeling camera images in the real world is an expensive task, whereas synthesizing labeled images in a simulation environment is easy for collecting large-scale image data. However, learning from only s... 详细信息
来源: 评论
Unsupervised Wafermap Patterns Clustering via variational autoencoders
Unsupervised Wafermap Patterns Clustering via Variational Au...
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International Joint Conference on Neural Networks (IJCNN)
作者: Tulala, Peter Mahyar, Hamidreza Ghalebi, Elahe Grosu, Radu Vienna Univ Technol TU Wien Inst Comp Engn Vienna Austria
Semiconductor manufacturing processes are prone to process deviations or other production issues. Quality assurance of every processing step and measuring wafer test values is crucial for finding possible root causes ... 详细信息
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CONTINUAL LEARNING OF PREDICTIVE MODELS IN VIDEO SEQUENCES VIA variational autoencoderS
CONTINUAL LEARNING OF PREDICTIVE MODELS IN VIDEO SEQUENCES V...
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IEEE International Conference on Image Processing (ICIP)
作者: Campo, Damian Slavic, Giulia Baydoun, Mohamad Marcenaro, Lucio Regazzoni, Carlo Univ Genoa DITEN Genoa Italy
This paper proposes a method for performing continual learning of predictive models that facilitate the inference of future frames in video sequences. For a first given experience, an initial variational autoencoder, ... 详细信息
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Fast and Efficient Speech Enhancement with variational autoencoders  48
Fast and Efficient Speech Enhancement with Variational Autoe...
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48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023
作者: Sadeghi, Mostafa Serizel, Romain Université de Lorraine Cnrs Inria Loria NancyF-54000 France
Unsupervised speech enhancement based on variational autoencoders has shown promising performance compared with the commonly used supervised methods. This approach involves the use of a pre-trained deep speech prior a... 详细信息
来源: 评论
Rolling Bearing Fault Diagnosis Based on Multi-Modal variational autoencoders  3
Rolling Bearing Fault Diagnosis Based on Multi-Modal Variati...
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3rd International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022
作者: Xiong, Manjun Wu, Yifan Li, Chuan Yang, Zhe School of Management Science and Engineering Chongqing Technology and Business University Chongqing400067 China Chongqing Technology and Business University Research Center of System Health Maintenance Chongqing400067 China School of Mechanical Engineering Dongguan University of Technology and Business University Dongguan523808 China
With the development of Industry 4.0, more and more attention has been paid to system intelligent maintenance by various industries, among which rolling bearing is an indispensable and most important component. Existi... 详细信息
来源: 评论