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检索条件"主题词=autoencoder"
4298 条 记 录,以下是1211-1220 订阅
Industrial Control Malicious Traffic Anomaly Detection System Based on Deep autoencoder
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FRONTIERS IN ENERGY RESEARCH 2021年 8卷
作者: Wang, Weiping Wang, Chunyang Guo, Yongzhen Yuan, Manman Luo, Xiong Gao, Yang Univ Sci & Technol Beijing Dept Comp & Commun Engn Beijing Peoples R China Beijing Key Lab Knowledge Engn Mat Sci Beijing Peoples R China Univ Sci & Technol Beijing Inst Artificial Intelligence Beijing Peoples R China Beijing Univ Sci & Technol Shunde Grad Sch Guangzhou Peoples R China China Software Testing Ctr Ind Control Syst Evaluat & Certificat Dept Beijing Peoples R China Beijing Inst Technol Sch Automat Beijing Peoples R China China Informat Technol Secur Evaluat Ctr Beijing Peoples R China
\ Industrial control network is a direct interface between information system and physical control process. Due to the lack of authentication, encryption, and other necessary security protection designs, it has become... 详细信息
来源: 评论
Conditioning autoencoder Latent Spaces for Real-Time Timbre Interpolation and Synthesis
Conditioning Autoencoder Latent Spaces for Real-Time Timbre ...
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International Joint Conference on Neural Networks (IJCNN) held as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI)
作者: Colonel, Joseph T. Keene, Sam Queen Mary Univ London London England Cooper Union Adv Sci & Art New York NY USA
We compare standard autoencoder topologies' performances for timbre generation. We demonstrate how different activation functions used in the autoencoder's bottleneck distributes a training corpus's embedd... 详细信息
来源: 评论
Improving Image autoencoder Embeddings with Perceptual Loss
Improving Image Autoencoder Embeddings with Perceptual Loss
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International Joint Conference on Neural Networks (IJCNN) held as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI)
作者: Pihlgren, Gustav Grund Sandin, Fredrik Liwicki, Marcus Lulea Univ Technol EISLAB Machine Learning Lulea Sweden Lulea Univ Technol EISLAB Elect Syst Lulea Sweden
autoencoders are commonly trained using element-wise loss. However, element-wise loss disregards high-level structures in the image which can lead to embeddings that disregard them as well. A recent improvement to aut... 详细信息
来源: 评论
Inf-VAE: A Variational autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction  20
Inf-VAE: A Variational Autoencoder Framework to Integrate Ho...
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13th Annual ACM International Conference on Web Search and Data Mining (WSDM)
作者: Sankar, Aravind Zhang, Xinyang Krishnan, Adit Han, Jiawei Univ Illinois Champaign IL 61820 USA
Recent years have witnessed tremendous interest in understanding and predicting information spread on social media platforms such as Twitter, Facebook, etc. Existing diffusion prediction methods primarily exploit the ... 详细信息
来源: 评论
Spatial-Time MIMO autoencoder for Physical Layer  12
Spatial-Time MIMO Autoencoder for Physical Layer
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12th International Conference on Wireless Communications and Signal Processing (WCSP)
作者: Mu, Tianjie Chen, Xiaohui Chen, Li Yin, Huarui Wei, Guo Univ Sci & Technol China Hefei Dept Elect Engn & Informat Sci Hefei 230027 Anhui Peoples R China
autoencoder-based communication systems show great potential due to the fast development of Deep Learning. In this letter, we propose an end-to-end communication structure for transmitting spatial-time symbol blocks. ... 详细信息
来源: 评论
Adversarially Regularized autoencoder for Hyperspectral Image Unmixing  26
Adversarially Regularized Autoencoder for Hyperspectral Imag...
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Conference on Image and Signal Processing for Remote Sensing XXVI
作者: Holland, Wesley J. Du, Qian Mississippi State Univ Dept Elect & Comp Engn Starkville MS 39759 USA
Deep autoencoders (AEs) have recently been applied to the blind hyperspectral unmixing task to estimate endmembers and their corresponding abundances simultaneously. The objective of an autoencoder is to reconstruct a... 详细信息
来源: 评论
Audio surveillance of roads using deep learning and autoencoder-based sample weight initialization  20
Audio surveillance of roads using deep learning and autoenco...
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20th IEEE Mediterranean Eletrotechnical Conference (IEEE MELECON)
作者: Mnasri, Zied Rovetta, Stefano Masulli, Francesco Univ Genoa DIBRIS Genoa Italy Univ Tunis El Manar Elect Enginerring Dept ENIT Tunis Tunisia Temple Univ Sbarro Inst Canc & Mol Med Philadelphia PA USA
Road safety has always been a major concern, where a variety of competences is involved, ranging from government and local authorities, medical caregivers and other service provides. Prompt intervention in emergency c... 详细信息
来源: 评论
Video Summarization through Total Variation, Deep Semi-supervised autoencoder and Clustering Algorithms  15
Video Summarization through Total Variation, Deep Semi-super...
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15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) / 15th International Conference on Computer Vision Theory and Applications (VISAPP)
作者: da Silva, Eden Pereira Ramos, Eliaquim Monteiro da Silva, Leandro Tavares Cardoso, Jaime S. Giraldi, Gilson A. Natl Lab Sci Comp Petropolis RJ Brazil Fed Ctr Technol Educ Celso Suckow da Fonseca Petropolis RJ Brazil INESC TEC Porto Portugal Univ Porto Porto Portugal
Video summarization is an important tool considering the amount of data to analyze. Techniques in this area aim to yield synthetic and useful visual abstraction of the videos contents. Hence, in this paper we present ... 详细信息
来源: 评论
Stock Market Prediction-by-Prediction Based on autoencoder Long Short-Term Memory Networks  28
Stock Market Prediction-by-Prediction Based on Autoencoder L...
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28th Iranian Conference on Electrical Engineering (ICEE)
作者: Faraz, Mehrnaz Khaloozadeh, Hamid Abbasi, Milad KN Toosi Univ Technol Fac Elect Engn Tehran Iran Sharif Univ Technol Dept Elect Engn Tehran Iran
This paper proposes a strategy for the stock market closing price prediction-by-prediction using the autoencoder long short-term memory (AE-LSTM) networks. To integrate technical analysis with deep learning methods, t... 详细信息
来源: 评论
An Adaptive Deep Learning Algorithm Based autoencoder for Interference Channels  2nd
An Adaptive Deep Learning Algorithm Based Autoencoder for In...
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2nd IFIP TC 6 International Workshop on Machine Learning for Networking (MLN)
作者: Wu, Dehao Nekovee, Maziar Wang, Yue Univ Sussex Ctr Adv Commun Mobile Technol & IoT Brighton E Sussex England Quantrom Technol LTD London England Samsung Elect R&D Inst Commun HouseSouth St Staines TW18 4QE Middx England
Deep learning (DL) based autoencoder (AE) has been proposed recently as a promising, and potentially disruptive Physical Layer (PHY) design for beyond-5G communication systems. Compared to a traditional communication ... 详细信息
来源: 评论