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检索条件"主题词=Auto-Encoder"
786 条 记 录,以下是151-160 订阅
排序:
Jointly Sparse Support Recovery via Deep auto-encoder with Applications in MIMO-based Grant-Free Random Access for mMTC  21
Jointly Sparse Support Recovery via Deep Auto-encoder with A...
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21st IEEE International Workshop on Signal Processing Advances in Wireless Communications (IEEE SPAWC)
作者: Zhang, Wanqing Li, Shuaichao Cui, Ying Shanghai Jiao Tong Univ Dept Elect Engn Shanghai Peoples R China
In this paper, a data-driven approach is proposed to jointly design the common sensing (measurement) matrix and jointly support recovery method for complex signals, using a standard deep auto-encoder for real numbers.... 详细信息
来源: 评论
Multi-view Clustering via Multiple auto-encoder  4th
Multi-view Clustering via Multiple Auto-Encoder
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Joint International Conference on Web and Big Data : Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM)
作者: Du, Guowang Zhou, Lihua Yang, Yudi Lu, Kevin Wang, Lizhen Yunnan Univ Sch Informat Kunming 650500 Yunnan Peoples R China Brunel Univ Uxbridge UB8 3PH Middx England
Multi-view clustering (MVC), which aims to explore the underlying structure of data by leveraging heterogeneous information of different views, has brought along a growth of attention. Multi-viewclustering algorithms ... 详细信息
来源: 评论
Rare Failure Prediction Using an Integrated auto-encoder and Bidirectional Gated Recurrent Unit Network  4
Rare Failure Prediction Using an Integrated Auto-encoder and...
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4th International-Federation-of-automatic-Control (IFAC) Workshop on Advanced Maintenance Engineering, Services and Technologies (AMEST)
作者: Dangut, Maren David Skaf, Zakwan Jennions, Ian K. Cranfield Univ Bedford Integrated Vehicle Hlth Management IVHM Ctr Cranfield MK43 0AL Beds England Cranfield Univ Integrated Vehicle Hlth Management IVHM Ctr Bedford MK43 0AL England Higher Coll Technol Mech Engn Dept Abu Dhabi U Arab Emirates
Aircraft fault detection and prediction is a critical element of preventing failures, reducing maintenance costs, and increasing fleet availability. This paper considers a problem of rare failure prediction in the con... 详细信息
来源: 评论
Developing a Clustering Structure with Consideration of Cross-Domain Text Classification based on Deep Sparse auto-encoder
Developing a Clustering Structure with Consideration of Cros...
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IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM)
作者: Guo, Yufan Fei, Rong Zhang, Kuan Tang, Yu Hu, Bo Xian Univ Technol Coll Comp Sci & Engn Xian Peoples R China Beijing Huadian Youkong Technol Co Ltd Beijing Peoples R China
A Abstract feature dimension and cross-domain classification in text classification may lead to low efficiency of text classification. Therefore, in order to study the specificity of the 2019-novel coronavirus, this p... 详细信息
来源: 评论
Deep Stacked Sparse auto-encoder based on Patches for Image Classification  12
Deep Stacked Sparse Auto-encoder based on Patches for Image ...
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12th International Conference on Machine Vision (ICMV)
作者: Jemel, Intidar Hassairi, Salima Ejbali, Ridha Zaied, Mourad Natl Engn Sch Gabes Res Team Intelligent Machines Gabes 6072 Tunisia
Image classification is an area where deep learning and especially stacked auto-encoders have really proven their strength. The contributions of this paper lie in the creation of a new classifier to remedy some classi... 详细信息
来源: 评论
A Fault Detection Method based on Convolutional Gated Recurrent Unit auto-encoder for Tennessee Eastman Process
A Fault Detection Method based on Convolutional Gated Recurr...
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Chinese automation Congress (CAC)
作者: Yu, Jianbo Liu, Xing Tongji Univ Sch Mech Engn Shanghai Peoples R China
Due to the powerful ability of feature learning, deep learning has been widely used in the field of manufacturing process monitoring. This paper proposes a new fault detection method, convolutional gated recurrent uni... 详细信息
来源: 评论
Jointly Sparse Signal Recovery via Deep auto-encoder and Parallel Coordinate Descent Unrolling
Jointly Sparse Signal Recovery via Deep Auto-encoder and Par...
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IEEE Wireless Communications and Networking Conference (IEEE WCNC)
作者: Li, Shuaichao Zhang, Wanqing Cui, Ying Shanghai Jiao Tong Univ Dept EE Shanghai Peoples R China
In this paper, combining techniques in compressed sensing, parallel optimization and deep learning, an auto-encoder-based approach is proposed to jointly design the common measurement matrix and jointly sparse signal ... 详细信息
来源: 评论
Unsupervised Dimension Reduction for Image Classification Using Regularized Convolutional auto-encoder
Unsupervised Dimension Reduction for Image Classification Us...
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Computer Vision Conference (CVC)
作者: Xu, Chaoyang Wu, Ling Wang, Shiping Putian Univ Sch Informat Engn Putian 351100 Peoples R China Fuzhou Univ Sch Econ & Management Fuzhou 350116 Fujian Peoples R China Fuzhou Univ Coll Math & Comp Sci Fuzhou 350116 Fujian Peoples R China
Unsupervised dimension reduction has gained widespread attention. Most of previous work performed poorly on image classification due to taking no account of neighborhood relations and spatial localities. In this paper... 详细信息
来源: 评论
Unsupervised anomaly detection of the gas turbine operation via convolutional auto-encoder
Unsupervised anomaly detection of the gas turbine operation ...
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IEEE International Conference on Prognostics and Health Management (ICPHM)
作者: Lee, Geunbae Jung, Myungkyo Song, Myoungwoo Choo, Jaegul Korea Univ Grad Sch Comp & Informat Technol Seoul South Korea Korea Adv Inst Sci & Technol Grad Sch Artificial Intelligence Daejeon South Korea
This paper proposes a combination of convolutional neural network and auto-encoder (CAE) for unsupervised anomaly detection of industrial gas turbines. autonomous monitoring systems protect the gas turbines, with the ... 详细信息
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A novel approach to reconstruction based saliency detection via convolutional neural network stacked with auto-encoder
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NEUROCOMPUTING 2019年 349卷 145-155页
作者: Lin, Xinchen Tang, Yang Tianfield, Huaglory Qian, Feng Zhong, Weimin East China Univ Sci & Technol Minist Educ Key Lab Adv Control & Optimizat Chem Proc Shanghai 200237 Peoples R China Glasgow Caledonian Univ Sch Comp Engn & Built Environm Glasgow G4 0BA Lanark Scotland
Visual saliency detection, aimed at the simulation of human visual system (HVS), has drawn wide attention in recent decades. Reconstruction based saliency detection models are established methods for saliency detectio... 详细信息
来源: 评论