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检索条件"主题词=Variational autoencoder"
1532 条 记 录,以下是1461-1470 订阅
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Prediction of the microstructure of cold-compacted Astaloy 85Mo with deep generative models
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COMPUTATIONAL MATERIALS SCIENCE 2024年 242卷
作者: Schenk, Oliver Becker, Marco Deng, Yuanbin Niemietz, Philipp Bergs, Thomas Broeckmann, Christoph Chair & Inst Mat Applicat Mech Engn Augustinerbach 4 D-52062 Aachen Germany Rhein Westfal TH Aachen Mfg Technol Inst MTI Campus Blvd 30 D-52074 Aachen Germany Fraunhofer Inst Prod Technol IPT Steinbachstr 17 D-52074 Aachen Germany
In powder metallurgy, iron -based powders are compacted to so-called green bodies, which undergo a subsequent sintering process. The microstructure of the green bodies affects the sintering process and the resulting p... 详细信息
来源: 评论
A deep learning factor analysis model based on importance-weighted variational inference and normalizing flow priors: Evaluation within a set of multidimensional performance assessments in youth elite soccer players
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STATISTICAL ANALYSIS AND DATA MINING-AN ASA DATA SCIENCE JOURNAL 2023年 第5期16卷 474-487页
作者: Kilian, Pascal Leyhr, Daniel Urban, Christopher J. Hoener, Oliver Kelava, Augustin Univ Tubingen Methods Ctr Tubingen Germany Univ Tubingen Inst Sports Sci Methods Ctr Tubingen Germany Univ North Carolina Chapel Hill Dept Psychol & Neurosci Chapel Hill NC USA Univ Tubingen Inst Sports Sci Tubingen Germany
Exploratory factor analysis is a widely used framework in the social and behavioral sciences. Since measurement errors are always present in human behavior data, latent factors, generating the observed data, are impor... 详细信息
来源: 评论
Layer-constrained variational autoencoding kernel density estimation model for anomaly detection
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KNOWLEDGE-BASED SYSTEMS 2020年 196卷
作者: Lv, Peng Yu, Yanwei Fan, Yangyang Tang, Xianfeng Tong, Xiangrong Ocean Univ China Dept Comp Sci & Technol Qingdao 266100 Shandong Peoples R China Yantai Univ Sch Comp & Control Engn Yantai 264005 Shandong Peoples R China Shanghai Jiao Tong Univ Shanghai Key Lab Adv High Temp Mat & Precis Formi Shanghai 200240 Peoples R China Penn State Univ Coll Informat Sci & Technol University Pk PA 16802 USA
Unsupervised techniques typically rely on the probability density distribution of the data to detect anomalies, where objects with low probability density are considered to be abnormal. However, modeling the density d... 详细信息
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A Lightweight Unsupervised Intrusion Detection Model Based on variational Auto-Encoder
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SENSORS 2023年 第20期23卷 8407页
作者: Ren, Yi Feng, Kanghui Hu, Fei Chen, Liangyin Chen, Yanru Sichuan Univ Sch Comp Sci Chengdu 610065 Peoples R China Sichuan Univ Inst Ind Internet Res Chengdu 610065 Peoples R China
With the gradual integration of internet technology and the industrial control field, industrial control systems (ICSs) have begun to access public networks on a large scale. Attackers use these public network interfa... 详细信息
来源: 评论
Towards physical interaction-based sequential mobility assistance using latent generative model of movement state
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ADVANCED ROBOTICS 2021年 第1期35卷 64-79页
作者: Itadera, Shunki Kobayashi, Taisuke Nakanishi, Jun Aoyama, Tadayoshi Hasegawa, Yasuhisa Nagoya Univ Dept Micronano Mech Sci & Engn Nagoya Aichi Japan Nara Inst Sci & Technol Div Informat Sci Nara Japan Meijo Univ Dept Mech Engn Nagoya Aichi Japan
In this paper, we address sequential mobility assistance for daily elderly care through physical human-robot interaction. The goal of this work is to develop a robotic assistive system to provide physical support in d... 详细信息
来源: 评论
Research on Insider Threat Detection Method Based on variational Autoencoding
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电脑学刊 2021年 第4期32卷 201-210页
作者: Zhenjiang Zhang Lulu Zhao Yang Zhang Hongde Zhou Wei Li
In recent years, internal attacks have posed a serious threat to the security of individuals, companies and even the country. Machine learning is currently a common method of insider threat detection. However, this te... 详细信息
来源: 评论
Convolutional Neural Network Graph-based Embedding for Neural Architecture Search
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Procedia Computer Science 2023年 229卷 47-54页
作者: Evgeny Bessonnitsyn Vsevolod Shaldin Valeria Efimova Viacheslav Shalamov ITMO University Kronverksky Pr. 49 bldg. A St. Petersburg 197101 Russia
Recently, network architecture search is gaining popularity. The neural network representation as a directed acyclic graph is considered for subsequent architecture optimization. Currently, most of the existing encode... 详细信息
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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
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
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Collaborative Filtering Based on a variational Gaussian Mixture Model
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FUTURE INTERNET 2021年 第2期13卷 1-11页
作者: Yang, FengLei Liu, Fei Liu, ShanShan Shanghai Univ Sch Comp Engn & Sci Shanghai 200444 Peoples R China
Collaborative filtering (CF) is a widely used method in recommendation systems. Linear models are still the mainstream of collaborative filtering research methods, but non-linear probabilistic models are beyond the li... 详细信息
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CBN-VAE: A Data Compression Model with Efficient Convolutional Structure for Wireless Sensor Networks
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SENSORS 2019年 第16期19卷 3445页
作者: Liu, Jianlin Chen, Fenxiong Yan, Jun Wang, Dianhong China Univ Geosci Sch Mech Engn & Elect Informat Wuhan 430074 Hubei Peoples R China
Data compression is a useful method to reduce the communication energy consumption in wireless sensor networks (WSNs). Most existing neural network compression methods focus on improving the compression and reconstruc... 详细信息
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