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检索条件"主题词=Autoencoder"
4298 条 记 录,以下是4031-4040 订阅
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Low-Dimensional Learning Control using Generic Signal Parametrizations
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IFAC-PapersOnLine 2019年 第29期52卷 280-285页
作者: Jeroen Willems Edward Kikken Bruno Depraetere DecisionS lab Flanders Make Leuven Belgium
Iterative learning control (ILC) can yield superior performance for repetitive tasks while only requiring approximate models, making this control strategy very appealing for industry. However, applying it to non-linea... 详细信息
来源: 评论
Classification of Malware Programs using autoencoders based Deep Learning Architecture and its Application to the Microsoft Malware Classification Challenge (BIG 2015) Dataset
Classification of Malware Programs using Autoencoders based ...
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IEEE National Aerospace and Electronics Conference (NAECON)
作者: Kebede, Temesguen Messay Djaneye-Boundjou, Ouboti Narayanan, Barath Narayanan Ralescu, Anca Kapp, David Univ Dayton Dept Elect & Comp Engn Dayton OH 45469 USA Univ Cincinnati Dept Elect Engn & Comp Sci Cincinnati OH 45221 USA Air Force Res Lab Avion Vulnerabil Mitigat Branch AFRL RYWA 2241 Avionics Circle Bldg 620 Dayton OH 45433 USA
Distinguishing and classifying different types of malware is important to better understanding how they can infect computers and devices, the threat level they pose and how to protect against them. In this paper, a sy... 详细信息
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Coupling Molecular Dynamics and Deep Learning to Mine Protein Conformational Space
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STRUCTURE 2019年 第6期27卷 1034-+页
作者: Degiacomi, Matteo T. Univ Durham Dept Chem South Rd Durham DH1 3LE England
Flexibility is often a key determinant of protein function. To elucidate the link between their molecular structure and role in an organism, computational techniques such as molecular dynamics can be leveraged to char... 详细信息
来源: 评论
Graphical classification of DNA sequences of HLA alleles by deep learning
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HUMAN CELL 2018年 第2期31卷 102-105页
作者: Miyake, Jun Kaneshita, Yuhei Asatani, Satoshi Tagawa, Seiichi Niioka, Hirohiko Hirano, Takashi Osaka Univ Grad Sch Engn Sci 1-3 Machikane Yama Toyonaka Osaka 5608531 Japan Osaka Univ Global Ctr Med Engn & Informat Bldg A-3011-3 Yamadaoka Suita Osaka 5650871 Japan Okinawa Inst Adv Sci Uruma 9042234 Japan Sentan Pharma Co Ltd Okinawa Res Inst Uruma Okinawa 9042234 Japan
Alleles of human leukocyte antigen (HLA)-A DNAs are classified and expressed graphically by using artificial intelligence "Deep Learning (Stacked autoencoder)". Nucleotide sequence data corresponding to the ... 详细信息
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RESTRICTED BOLTZMANN MACHINE IMAGE COMPRESSION  33
RESTRICTED BOLTZMANN MACHINE IMAGE COMPRESSION
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33rd Picture Coding Symposium (PCS)
作者: Kuechhold, Markus Simon, Maik Sikora, Thomas Tech Univ Berlin Commun Syst Grp Einsteinufer 17 D-10587 Berlin Germany
We propose a novel lossy block-based image compression approach. Our approach builds on non-linear autoencoders that can, when properly trained, explore non-linear statistical dependencies in the image blocks for redu... 详细信息
来源: 评论
Visible Light Communication Using Deep Learning Techniques  39
Visible Light Communication Using Deep Learning Techniques
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IEEE 39th Sarnoff Symposium
作者: Pachpande, Priti G. Khadr, Monette H. Hussein, Ahmed F. Elgala, Hany SUNY Albany Dept Elect & Comp Engn Albany NY 12222 USA
Deep learning (DL) techniques have the potential of making communication systems more efficient and solving many problems in the physical layer. In this paper, an optical wireless communications (OWC) system based on ... 详细信息
来源: 评论
Poster Abstract: Learning for Device Pairing in Body Area Networks  16
Poster Abstract: Learning for Device Pairing in Body Area Ne...
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16th Conference on Embedded Networked Sensor Systems (SENSYS)
作者: Wu, Yuezhong Hu, Wen Hassan, Mahbub Univ New South Wales Sydney NSW Australia
Recent work has shown that it is possible for two wearable devices worn by the same user to generate a common key for secure pairing by exploiting gait as a common secret. A key challenge for such device pairing lies ... 详细信息
来源: 评论
Image Retrieval Based on a Hybrid Model of Deep Convolutional Encoder
Image Retrieval Based on a Hybrid Model of Deep Convolutiona...
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IEEE International Conference of Intelligent Robotics and Control Engineering (IRCE)
作者: Qin, Jingkun Haihong, E. Song, Meina Ren, Zhijun Beijing Univ Posts & Telecommun Sch Comp Sci Beijing Peoples R China
Aiming at the difficulty of semantic gap in content-based image search (CBIR), inspired by the convolutional neural network (CNN) in image classification and detection, this paper proposes a simple and effective hybri... 详细信息
来源: 评论
Classification of Radar Signal Features in Electronic Warfare with Convolutional Long-Short Time Memory  26
Classification of Radar Signal Features in Electronic Warfar...
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26th IEEE Signal Processing and Communications Applications Conference (SIU)
作者: Nuhoglu, Mustafa Atahan Aselsan AS Radar Elekt Harp & Istihbarat Sistemleri Ankara Turkey
Radar signals are time series that have pulse repetition interval, pulse width and pulse amplitude as their features. After reception of them by electronic warfare systems, their features are classified and kept in a ... 详细信息
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Intrusion Detection Algorithm Based on Deep Learning for Industrial Control Networks
Intrusion Detection Algorithm Based on Deep Learning for Ind...
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作者: Yongzhong Li Yi Li Shipeng Zhang School of computer science Jiangsu University of Science and Technology
In this paper,we describe a intrusion detection algorithm based on deep learning for industrial control networks,aiming at the security problem of industrial control *** learning is a kind of intelligent algorithm and... 详细信息
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