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检索条件"主题词=Variational autoencoder"
1534 条 记 录,以下是371-380 订阅
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variational-autoencoder Siamese Network for Change Detection on Satellite Imagery
Variational-AutoEncoder Siamese Network for Change Detection...
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2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2024
作者: Choudhury, Aritro Pal Nath Tripathy, Soumyo Mandal, Soumya Kanti Halder, Tamesh De, Shaunak Gayen, Rintu Kumar Chakravarty, Debashish Institute of Engineering & Management Department of Electronics and Communication Engineering Kolkata India Institute of Engineering & Management Computer Science Engineering Kolkata India Iit Kharagpur Ndl India Indian Institute of Technology Department of Mining Engineering Kharagpur India Capella Space San FranciscoCA United States
Capturing changes in certain areas has assumed huge importance due to both man-made and natural phenomenon. Our novel research is aimed at urban classification using an unsupervised variational Auto-encoder based Siam... 详细信息
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mmFall: Fall Detection Using 4-D mmWave Radar and a Hybrid variational RNN autoencoder
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IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING 2022年 第2期19卷 1245-1257页
作者: Jin, Feng Sengupta, Arindam Cao, Siyang Univ Arizona Dept Elect & Comp Engn Tucson AZ 85719 USA
Elderly fall prevention and detection becomes extremely crucial with the fast aging population globally. In this article, we propose mmFall, a novel fall detection system, which comprises 1) the emerging millimeter-wa... 详细信息
来源: 评论
Curiosity-Driven variational autoencoder for Deep Q Network  24th
Curiosity-Driven Variational Autoencoder for Deep Q Network
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24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)
作者: Han, Gao-Jie Zhang, Xiao-Fang Wang, Hao Mao, Chen-Guang Soochow Univ Sch Comp Sci & Technol Suzhou Peoples R China
In recent years, deep reinforcement learning (DRL) has achieved tremendous success in high-dimensional and large-scale space control and sequential decision-making tasks. However, the current model-free DRL methods su... 详细信息
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Learning latent representations of bank customers with the variational autoencoder
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EXPERT SYSTEMS WITH APPLICATIONS 2021年 164卷 114020-114020页
作者: Mancisidor, Rogelio A. Kampffmeyer, Michael Aas, Kjersti Jenssen, Robert UiT Arctic Univ Norway Fac Sci & Technol Dept Phys & Technol Hansine Hansens Veg 18 N-9037 Tromso Norway Santander Consumer Bank Credit Risk Models Strandveien 18 N-1325 Lysaker Norway Norwegian Comp Ctr POB 114 Blindern Oslo Norway UiT Machine Learning Grp Tromso Norway
Learning data representations that reflect the customers' creditworthiness can improve marketing campaigns, customer relationship management, data and process management or the credit risk assessment in retail ban... 详细信息
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Reduced-Complexity End-to-End variational autoencoder for on Board Satellite Image Compression
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REMOTE SENSING 2021年 第3期13卷 447-447页
作者: Alves de Oliveira, Vinicius Chabert, Marie Oberlin, Thomas Poulliat, Charly Bruno, Mickael Latry, Christophe Carlavan, Mikael Henrot, Simon Falzon, Frederic Camarero, Roberto Univ Toulouse IRIT INP ENSEEIHT F-31071 Toulouse France Telecommun Space & Aeronaut TeSA Lab F-31500 Toulouse France Univ Toulouse ISAE SUPAERO F-31055 Toulouse France CNES F-31400 Toulouse France Thales Alenia Space F-06150 Cannes France ESA NL-2201 AZ Noordwijk Netherlands
Recently, convolutional neural networks have been successfully applied to lossy image compression. End-to-end optimized autoencoders, possibly variational, are able to dramatically outperform traditional transform cod... 详细信息
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UNSUPERVISED ADAPTATION FOR HIGH-DIMENSIONAL WITH LIMITED-SAMPLE DATA CLASSIFICATION USING variational autoencoder
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COMPUTING AND INFORMATICS 2021年 第1期40卷 1-28页
作者: Mahmud, Mohammad Sultan Huang, Joshua Zhexue Fu, Xianghua Ruby, Rukhsana Wu, Kaishun Shenzhen Univ Coll Comp Sci & Software Engn Shenzhen 518060 Peoples R China Shenzhen Univ Natl Engn Lab Big Data Syst Comp Technol Shenzhen 518060 Peoples R China
High-dimensional with limited-sample size (HDLSS) datasets exhibit two critical problems: (1) Due to the insufficiently small-sample size, there is a lack of enough samples to build classification models. Classificati... 详细信息
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Deep generative models in inversion: The impact of the generator's nonlinearity and development of a new approach based on a variational autoencoder
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COMPUTERS & GEOSCIENCES 2021年 152卷 104762-104762页
作者: Lopez-Alvis, Jorge Laloy, Eric Nguyen, Frederic Hermans, Thomas Univ Liege Urban & Environm Engn Appl Geophys Liege Belgium Univ Ghent Dept Geol Ghent Belgium Belgian Nucl Res Ctr Inst Environm Hlth & Safety Engn & Geosyst Anal Mol Belgium
When solving inverse problems in geophysical imaging, deep generative models (DGMs) may be used to enforce the solution to display highly structured spatial patterns which are supported by independent information (e.g... 详细信息
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A dimensionality reduction algorithm for mapping tokamak operational regimes using a variational autoencoder (VAE) neural network
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NUCLEAR FUSION 2021年 第12期61卷 126063-126063页
作者: Wei, Y. Levesque, J. P. Hansen, C. J. Mauel, M. E. Navratil, G. A. Columbia Univ Dept Appl Phys & Appl Math New York NY 10027 USA Univ Washington Dept Aeronaut & Astronaut Seattle WA 98195 USA
A variational autoencoder (VAE) is a type of unsupervised neural network which is able to learn meaningful data representations in a reduced dimensional space. We present an application of VAE in identifying the opera... 详细信息
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Reconstructing a quantum state with a variational autoencoder
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INTERNATIONAL JOURNAL OF QUANTUM INFORMATION 2021年 第8期19卷 2140005-2140005页
作者: Chen, Chuangtao He, Zhimin Huang, Zhiming Situ, Haozhen Foshan Univ Sch Elect & Informat Engn 33 Guangyun Rd Foshan 528225 Guangdong Peoples R China Wuyi Univ Sch Econ & Management 22 Dongcheng Village Jiangmen 529020 Guangdong Peoples R China South China Agr Univ Coll Math & Informat 483 Wushan Rd Guangzhou 510642 Guangdong Peoples R China
Quantum state tomography (QST) is an important and challenging task in the field of quantum information, which has attracted a lot of attentions in recent years. Machine learning models can provide a classical represe... 详细信息
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A SEMI-SUPERVISED APPROACH FOR IDENTIFYING ABNORMAL HEART SOUNDS USING variational autoencoder
A SEMI-SUPERVISED APPROACH FOR IDENTIFYING ABNORMAL HEART SO...
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IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Banerjee, Rohan Ghose, Avik Tata Consultancy Serv Res & Innovat Mumbai Maharashtra India
Abnormal heart sounds may have diverse frequency characteristics depending upon underlying pathological conditions. Designing a binary classifier for predicting normal and abnormal heart sounds using supervised learni... 详细信息
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