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检索条件"主题词=Variational autoencoder"
1529 条 记 录,以下是1421-1430 订阅
排序:
PCGen: A Fully Parallelizable Point Cloud Generative Model
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SENSORS 2024年 第5期24卷 1414页
作者: Vercheval, Nicolas Royen, Remco Munteanu, Adrian Pizurica, Aleksandra Univ Ghent Fac Engn & Architecture Dept Telecommun & Informat Proc Res Grp Artificial Intelligence & Sparse Modelling B-9000 Ghent Belgium Univ Ghent Fac Engn & Architecture Dept Elect & Informat Syst Clifford Res Grp B-9000 Ghent Belgium Vrije Univ Brussel Dept Elect & Informat ETRO Fac Engn B-1050 Brussels Belgium
Generative models have the potential to revolutionize 3D extended reality. A primary obstacle is that augmented and virtual reality need real-time computing. Current state-of-the-art point cloud random generation meth... 详细信息
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Disentangling the correlated continuous and discrete generative factors of data
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PATTERN RECOGNITION 2023年 133卷
作者: Choi, Jaewoong Hwang, Geonho Kang, Myungjoo Seoul Natl Univ Dept Math Sci 1 Gwanak Ro Seoul 08826 South Korea Korea Inst Adv Study KIAS Ctr Artificial Intelligence & Nat Sci Seoul South Korea
Real-world data typically include discrete generative factors, such as category labels and the existence of objects, as well as continuous generative factors. Continuous generative factors may be dependent on or indep... 详细信息
来源: 评论
An Auto-Encoder with Genetic Algorithm for High Dimensional Data: Towards Accurate and Interpretable Outlier Detection
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ALGORITHMS 2022年 第11期15卷 429-429页
作者: Li, Jiamu Zhang, Ji Bah, Mohamed Jaward Wang, Jian Zhu, Youwen Yang, Gaoming Li, Lingling Zhang, Kexin Nanjing Univ Aeronaut & Astronaut Sch Comp Sci & Technol Nanjing 210016 Peoples R China Univ Southern Queensland Sch Math Phys & Comp Toowoomba Qld 4350 Australia Zhejiang Lab Big Data Intelligence Res Ctr Hangzhou 311121 Peoples R China Anhui Univ Sci & Technol Sch Comp Sci & Engn Huainan 243002 Peoples R China Zhengzhou Univ Aeronaut Sch Intelligent Engn Zhengzhou 450046 Peoples R China
When dealing with high-dimensional data, such as in biometric, e-commerce, or industrial applications, it is extremely hard to capture the abnormalities in full space due to the curse of dimensionality. Furthermore, i... 详细信息
来源: 评论
Enhancing biomechanical machine learning with limited data: generating realistic synthetic posture data using generative artificial intelligence
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FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY 2024年 12卷 1350135页
作者: Dindorf, Carlo Dully, Jonas Konradi, Juergen Wolf, Claudia Becker, Stephan Simon, Steven Huthwelker, Janine Werthmann, Frederike Kniepert, Johanna Drees, Philipp Betz, Ulrich Froehlich, Michael Univ Kaiserslautern Landau Dept Sports Sci Kaiserslautern Germany Johannes Gutenberg Univ Mainz Univ Med Ctr Inst Phys Therapy Prevent & Rehabil Mainz Germany Johannes Gutenberg Univ Mainz Univ Med Ctr Dept Orthoped & Trauma Surg Mainz Germany
Objective: Biomechanical Machine Learning (ML) models, particularly deep-learning models, demonstrate the best performance when trained using extensive datasets. However, biomechanical data are frequently limited due ... 详细信息
来源: 评论
3D Generative Model Latent Disentanglement via Local Eigenprojection
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COMPUTER GRAPHICS FORUM 2023年 第6期42卷 e14793-e14793页
作者: Foti, Simone Koo, Bongjin Stoyanov, Danail Clarkson, Matthew J. UCL London England Univ Calif Santa Barbara Santa Barbara CA USA
Designing realistic digital humans is extremely complex. Most data-driven generative models used to simplify the creation of their underlying geometric shape do not offer control over the generation of local shape att... 详细信息
来源: 评论
Human Laughter Generation using Hybrid Generative Models
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KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS 2021年 第5期15卷 1590-1609页
作者: Mansouri, Nadia Lachiri, Zied El Manar Univ Natl Engn Sch Tunisia Tunis 1002 Tunisia
Laughter is one of the most important nonverbal sound that human generates. It is a means for expressing his emotions. The acoustic and contextual features of this specific sound are different from those of speech and... 详细信息
来源: 评论
Class-Incremental Learning With Deep Generative Feature Replay for DNA Methylation-Based Cancer Classification
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IEEE ACCESS 2020年 8卷 210800-210815页
作者: Batbaatar, Erdenebileg Park, Kwang Ho Amarbayasgalan, Tsatsral Davagdorj, Khishigsuren Munkhdalai, Lkhagvadorj Pham, Van-Huy Ryu, Keun Ho Chungbuk Natl Univ Sch Elect & Comp Engn Database Bioinformat Lab Cheongju 28644 South Korea Ton Duc Thang Univ Fac Informat Technol Ho Chi Minh City 700000 Vietnam
Developing lifelong learning algorithms are mandatory for computational systems biology. Recently, many studies have shown how to extract biologically relevant information from high-dimensional data to understand the ... 详细信息
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Multicategory choice modeling with sparse and high dimensional data: A Bayesian deep learning approach
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DECISION SUPPORT SYSTEMS 2022年 157卷 113766-113766页
作者: Xia, Feihong Chatterjee, Rabikar Univ Rhode Isl Coll Business 233 Ballentine Hall7 Lippitt Rd Kingston RI 02881 USA Univ Pittsburgh Joseph M Katz Grad Sch Business 276C Mervis Hall Pittsburgh PA 15260 USA
The availability of sparse and high dimensional consumer shopping data poses a challenge for researchers for accurate and efficient analysis. While deep learning models can handle such data, most of the results from t... 详细信息
来源: 评论
ELVISort: encoding latent variables for instant sorting, an artificial intelligence-based end-to-end solution
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JOURNAL OF NEURAL ENGINEERING 2021年 第4期18卷
作者: Rokai, Janos Racz, Melinda Fiath, Richard Ulbert, Istvan Marton, Gergely Res Ctr Nat Sci Inst Cognit Neurosci & Psychol Magyar Tudosok Korutja 2 H-1117 Budapest Hungary Semmelweis Univ Sch PhD Studies Ulloi Ut 26 H-1085 Budapest Hungary Pazmany Peter Catholic Univ Fac Informat Technol & Bion Prater Utca 50-A H-1083 Budapest Hungary
Objective. The growing number of recording sites of silicon-based probes means that an increasing amount of neural cell activities can be recorded simultaneously, facilitating the investigation of underlying complex n... 详细信息
来源: 评论
Multi source deep learning method for drug-protein interaction prediction using k-mers and chaos game representation
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CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 2024年 246卷
作者: Mesrabadi, Hengame Abbasi Faez, Karim Pirgazi, Jamshid Islamic Azad Univ Fac Comp & Informat Technol Engn Qazvin Branch Qazvin Iran Amirkabir Univ Technol Tehran Polytech Dept Elect Engn Tehran Iran Univ Sci & Technol Mazandaran Dept Comp Engn Behshahr Iran
Identification of drug -protein interactions plays an important role in drug discovery. Development of new calculation methods, which have high accuracy solve the problems related to the previous methods, which were e... 详细信息
来源: 评论