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检索条件"主题词=Auto-Encoder"
784 条 记 录,以下是121-130 订阅
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Application of auto-encoder and Attention Mechanism in Raman Spectroscopy  18th
Application of Auto-encoder and Attention Mechanism in Raman...
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18th International Conference on Intelligent Computing (ICIC)
作者: Bai, Yunyi Xu, Mang Qian, Pengjiang Jiangnan Univ Sch Artificial Intelligence & Comp Sci Wuxi 214122 Jiangsu Peoples R China
Conventional Raman spectroscopy, which is based on the qualitative or quantitative determination of substances, has been widely utilized in industrial manufacture and academic research. However, in traditional Raman s... 详细信息
来源: 评论
A Mobile Network Performance Evaluation Method Based on Multivariate Time Series Clustering with auto-encoder  2018
A Mobile Network Performance Evaluation Method Based on Mult...
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2nd International Conference on Telecommunications and Communication Engineering (ICTCE)
作者: Wang, Xiaoyu Jin, Yuehui Yu, Yanping Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing Peoples R China Yunnan Univ Finance & Econ Int Language & Culture Inst Kunming Yunnan Peoples R China
With the extensive use of smartphones, the amount of collected mobile data and types of mobile network performance evaluation indicators are rapidly expanding. This has resulted in a challenge for the mobile network p... 详细信息
来源: 评论
A Convolutional auto-encoder Method for Anomaly Detection on System Logs
A Convolutional Auto-encoder Method for Anomaly Detection on...
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IEEE International Conference on Systems, Man, and Cybernetics (SMC)
作者: Cui, Yu Sun, Yiping Hu, Jinglu Sheng, Gehao Waseda Univ Grad Sch Informat Prod & Syst 2-7 Hibikino Kitakyushu Fukuoka Japan Shanghai Jiao Tong Univ Sch Elect Informat & Elect Engn 800 Dongchuan Rd Shanghai Peoples R China
Anomaly detection on system logs is to report system failures with utilization of console logs collected from devices, which ensures the reliability of systems. Most previous researches split logs into sequential time... 详细信息
来源: 评论
A Novel Deep Learning Approach: Stacked Evolutionary auto-encoder
A Novel Deep Learning Approach: Stacked Evolutionary Auto-en...
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International Joint Conference on Neural Networks (IJCNN)
作者: Cai, Yaoming Cai, Zhihua Zeng, Meng Liu, Xiaobo Wu, Jia Wang, Guangjun China Univ Geosci Sch Comp Sci Wuhan Peoples R China Qinzhou Univ Qinzhou 535011 Guangxi Peoples R China China Univ Geosci Sch Automat Wuhan Peoples R China Hubei Key Lab Adv Control & Intelligent Automat C Wuhan Peoples R China Macquarie Univ Dept Comp Sydney NSW 2109 Australia
Deep neural networks have been successfully applied to many data mining problems in recent works. The training of deep neural networks relies heavily upon gradient descent methods, however, which may lead to the failu... 详细信息
来源: 评论
Ensemble Clustering via Learning Representations from auto-encoder  15
Ensemble Clustering via Learning Representations from Auto-e...
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15th International Conference on Service Systems and Service Management (ICSSSM)
作者: Wu, Mengqi Liu, Guannan Li, Peng Wu, Junjie Wan, Xin Beihang Univ Sch Econ & Management Beijing Peoples R China Coordinat Ctr China Natl Comp Network Emergency Response Tech Team Beijing Peoples R China
Representation learning is central to clustering analysis and visualization. However, linear dimension reduction methods cannot model high dimensional and sparse feature spaces, thus may neglect some important informa... 详细信息
来源: 评论
Semi-supervised auto-encoder Based Event Detection in Constructing Knowledge Graph for Social Good  19
Semi-supervised Auto-encoder Based Event Detection in Constr...
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19th IEEE/WIC/ACM International Conference on Web Intelligence (WI)
作者: Zhao, Yue Jin, Xiaolong Wang, Yuanzhuo Cheng, Xueqi Univ CAS CAS Key Lab Network Data Sci & Technol Inst Comp Technol CAS Sch Comp & Control Engn Beijing Peoples R China
Knowledge graphs have recently been extensively applied in many different areas (e.g., disaster management and relief, disease diagnosis). For example, event-centric knowledge graphs have been developed to improve dec... 详细信息
来源: 评论
A New Approach for an End-to-end Communication System Using Variational auto-encoder (VAE)
A New Approach for an End-to-end Communication System Using ...
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IEEE Global Communications Conference (GLOBECOM)
作者: Alawad, Mohamad A. Hamdan, Mutasem Q. Hamdi, Khairi A. Foh, Chuan Heng ul Quddus, Atta Univ Manchester Sch Elect & Elect Engn Manchester Lancs England Univ Surrey ICS 5GIC & 6GIC Guildford Surrey England
In this paper, a new approach has been proposed and investigated with the help of variational auto-encoder (VAE) as a probabilistic model to reconstruct the transmitted symbol without sending the data bits out of the ... 详细信息
来源: 评论
Developing a Hybrid Expert/Data-Driven Health Index for Railway Axleboxes Using auto-encoder Neural Networks
Developing a Hybrid Expert/Data-Driven Health Index for Rail...
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Prognostics and System Health Management Conference in Paris (PHM Paris)
作者: Trilla, Alexandre Janjua, Fand Bermejo, Sergi ALSTOM Serv R&D Barcelona Spain ALSTOM Serv London England
The railway axlebox is a critical safety component in rolling stock. It bears the weight of the train, and minimises the friction with the rotating axle. Its failure in service might cause derailment. Therefore, its m... 详细信息
来源: 评论
Situational Estimation of Sports Broadcasting using a Character Level auto-encoder for Live Tweets
Situational Estimation of Sports Broadcasting using a Charac...
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IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)
作者: Fujimoto, Nodoka Ushiama, Taketoshi Kyushu Univ Grad Sch Design Fukuoka Japan Kyushu Univ Fac Design Fukuoka Japan
Real-time videos enable people to experience real-world events in real time. However, it is challenging for people to keep watching an event when they are busy and have other activities to carry out. It is therefore c... 详细信息
来源: 评论
Universal auto-encoder Framework for MIMO CSI Feedback
Universal Auto-encoder Framework for MIMO CSI Feedback
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IEEE Conference on Global Communications (IEEE GLOBECOM) - Intelligent Communications for Shared Prosperity
作者: So, Jinhyun Kwon, Hyukjoon Samsung Semicond Inc San Diego CA 91101 USA
Existing auto-encoder (AE)-based channel state information (CSI) frameworks have focused on a specific configuration of user equipment (UE) and base station (BS), and thus the input and output sizes of the AE are fixe... 详细信息
来源: 评论