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检索条件"主题词=variational autoencoder"
1534 条 记 录,以下是1361-1370 订阅
排序:
Developing a Generative Model Utilizing Self-attention Networks: Application to Materials/Drug Discovery
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MOLECULAR INFORMATICS 2021年 第10期40卷 e2100102-e2100102页
作者: Kondo, Masakazu JNC Petrochem Corp Ichihara Res Labs 5-1 Goi Kaigan Ichihara Chiba 2908551 Japan
A new generative model, in which the variational autoencoder network is combined with the Transformer architecture, is developed. The proposed model, the variational Autoencoding Transformer (VAT), is applied to the t... 详细信息
来源: 评论
Improving calibration of forensic glass comparisons by considering uncertainty in feature-based elemental data
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CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 2021年 217卷 104399-104399页
作者: Ramos, Daniel Maronas, Juan Almirall, Jose Univ Autonoma Madrid Escuela Politecn Super AUDIAS Lab Aud Data Intelligence & Speech Calle Francisco Tomas & Valiente 11 Madrid 28049 Spain Univ Politecn Valencia Escuela Tecn Super Ingn Informat Pattern Recognit & Human Language Tecnol PRHLT Re Camino Vera S-N Valencia 46022 Spain Florida Int Univ Dept Chem & Biochem Ctr Adv Res Forens Sci Miami FL 33199 USA
The computation of likelihood ratios (LR) to measure the weight of forensic glass evidence with LA-ICP-MS data directly in the feature space without computing any kind of score as an intermediate step is a complex pro... 详细信息
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VASP: An autoencoder-based approach for multivariate anomaly detection and robust time series prediction with application in motorsport
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2021年 104卷 104354-104354页
作者: von Schleinitz, Julian Graf, Michael Trutschnig, Wolfgang Schroeder, Andreas BMW AG Motorsport Munich Germany Univ Salzburg Salzburg Austria
The aim is to provide a framework for robust time series prediction in the presence of anomalies. The framework is developed based on a data set from motorsport but is not limited to this specific area. In motorsport,... 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
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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
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Slice-to-voxel stochastic reconstructions on porous media with hybrid deep generative model
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COMPUTATIONAL MATERIALS SCIENCE 2021年 186卷 110018-110018页
作者: Zhang, Fan Teng, Qizhi Chen, Honggang He, Xiaohai Dong, Xiucheng Sichuan Univ Coll Elect & Informat Engn Chengdu Peoples R China Xihua Univ Sch Elect Engn & Elect Informat Chengdu Peoples R China Minist Educ Key Lab Wireless Power Transmiss Chengdu Peoples R China
Three-dimensional (3D) microstructures are useful for studying the spatial structures and physical properties of porous media. A number of stochastic reconstructions are essential to discover the geometry and topology... 详细信息
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Improving the Structure-Function Relationship in Glaucomatous Visual Fields by Using a Deep Learning-Based Noise Reduction Approach
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OPHTHALMOLOGY GLAUCOMA 2020年 第3期3卷 210-217页
作者: Asaoka, Ryo Murata, Hiroshi Matsuura, Masato Fujino, Yuri Yanagisawa, Mieko Yamashita, Takehiro Univ Tokyo Dept Ophthalmol Grad Sch Med Tokyo Japan Univ Tokyo Fac Med Tokyo Japan Kitasato Univ Grad Sch Med Sci Dept Ophthalmol Sagamihara Kanagawa Japan Kagoshima Univ Dept Ophthalmol Grad Sch Med & Dent Sci Kagoshima Japan
Purpose: To investigate whether processing visual field (VF) measurements using a variational autoencoder (VAE) improves the structure-function relationship in glaucoma. Design: Cross-sectional study. Participants: Th... 详细信息
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A Generative Learning Approach for Spatio-temporal Modeling in Connected Vehicular Network
A Generative Learning Approach for Spatio-temporal Modeling ...
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IEEE International Conference on Communications (IEEE ICC) / Workshop on NOMA for 5G and Beyond
作者: Xia, Rong Xiao, Yong Li, Yingyu Krunz, Marwan Niyato, Dusit Huazhong Univ Sci & Technol Sch Elect Informat & Commun Wuhan Hubei Peoples R China Univ Arizona Dept Elect & Comp Engn Tucson AZ 85721 USA Nanyang Technol Univ Sch Comp Sci & Engn Singapore Singapore
Spatio-temporal modeling of wireless access latency is of great importance for connected-vehicular systems. The quality of the molded results rely heavily on the number and quality of samples which can vary significan... 详细信息
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Privacy-Preserving Data Generation and Sharing Using Identification Sanitizer  21st
Privacy-Preserving Data Generation and Sharing Using Identif...
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21st International Conference on Web Information Systems Engineering (WISE)
作者: Wang, Shuo Lyu, Lingjuan Chen, Tianle Chen, Shangyu Nepal, Surya Rudolph, Carsten Grobler, Marthie CSIRO Data61 Melbourne Vic Australia Monash Univ Melbourne Vic Australia Natl Univ Singapore Singapore Singapore Univ Melbourne Melbourne Vic Australia
In this paper, we propose a practical privacy-preserving generative model for data sanitization and sharing, called Sanitizer-variational autoencoder (SVAE). We assume that the data consists of identification-relevant... 详细信息
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CONTINUAL LEARNING THROUGH ONE-CLASS CLASSIFICATION USING VAE
CONTINUAL LEARNING THROUGH ONE-CLASS CLASSIFICATION USING VA...
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IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Wiewel, Felix Brendle, Andreas Yang, Bin Univ Stuttgart Inst Signal Proc & Syst Theory Stuttgart Germany
Artificial neural networks (ANNs) suffer from catastrophic forgetting, a sharp decrease in performance on previously learned tasks, when trained on a new task without constant rehearsal. In this paper, we propose a ne... 详细信息
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