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检索条件"主题词=Autoencoder"
4217 条 记 录,以下是4161-4170 订阅
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
来源: 评论
Speech Separation based on Deep Belief Network
Speech Separation based on Deep Belief Network
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2015 International Industrial Informatics and Computer Engineering Conference(IIICEC 2015)
作者: Wu Haijia Zhang Xiongwei Zhang Liangliang Zou Xia College of Command Information and Systems PLA University of Science and Technology
Thanks to its hierarchical and generative nature,Deep Belief Network(DBN) is effective to feature representation and extraction in signal *** this paper,DBN is investigated and implemented to monaural speech ***,two... 详细信息
来源: 评论
Data Integration Using Advances in Machine Learning in Drug Discovery and Molecular Biology
Data Integration Using Advances in Machine Learning in Drug ...
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作者: Irene Lena Hudson
While the term artificial intelligence and the concept of deep learning are not new, recent advances in high-performance computing, the availability of large annotated data sets required for training, and novel framew... 详细信息
来源: 评论
A Personal Conversation Assistant Based on Seq2seq with Word2vec Cognitive Map
A Personal Conversation Assistant Based on Seq2seq with Word...
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International Congress on Advanced Applied Informatics
作者: Maoyuan Shen Runhe Huang Graduate School of Computer and Information Sciences Hosei University Faculty of Computer and Information Sciences Hosei University
WeChat is one of social network applications that connects people widely. Huge data is generated when users conduct conversations, which can be used to enhance their lives. This paper will describe how this data is co... 详细信息
来源: 评论
Language Transfer of Audio Word2Vec: Learning Audio Segment Representations Without Target Language Data
Language Transfer of Audio Word2Vec: Learning Audio Segment ...
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IEEE International Conference on Acoustics, Speech and Signal Processing
作者: Chia-Hao Shen Janet Y. Sung Hung-Yi Lee National Taiwan University Electrical Engineering Department Harvard University Design Engineering Department
Audio Word2Vec offers vector representations of fixed dimensionality for variable-length audio segments using Sequence to-sequence autoencoder (SA). These vector representations are shown to describe the sequential ph... 详细信息
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Structured dropout for weak label and multi-instance learning and its application to score-informed source separation
Structured dropout for weak label and multi-instance learnin...
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IEEE International Conference on Acoustics, Speech and Signal Processing
作者: Sebastian Ewert Mark B. Sandler Queen Mary University of London UK
Many success stories involving deep neural networks are instances of supervised learning, where available labels power gradient-based learning methods. Creating such labels, however, can be expensive and thus there is... 详细信息
来源: 评论
Intrusion Detection Algorithm Based on Deep Learning for Industrial Control Networks  2019
Intrusion Detection Algorithm Based on Deep Learning for Ind...
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Proceedings of the 2019 The 2nd International Conference on Robotics, Control and Automation Engineering
作者: Yongzhong Li Yi Li Shipeng Zhang School of computer science Jiangsu University of Science and Technology Zhenjiang Jiangsu China
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 network. Deep learning is a kind of intelligent a... 详细信息
来源: 评论
A Feature Extraction Method Using Multiscale CLAE for Intelligent Fault Diagnosis
A Feature Extraction Method Using Multiscale CLAE for Intell...
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第40届中国控制会议
作者: Ziqi Hao Qingyu Yang Pengtao Song School of Automation Science and Engineering Xi'an Jiaotong University SKLMSE lab School of Automation Science and EngineeringXi'an Jiaotong University
In order to avoid the occurrence of large-scale accidents to the greatest extent,it is necessary to find out the faults in the continuous operation of mechanical equipment and make corresponding *** the development of... 详细信息
来源: 评论
EXTENDED PIPELINE FOR CONTENT-BASED FEATURE ENGINEERING IN MUSIC GENRE RECOGNITION
EXTENDED PIPELINE FOR CONTENT-BASED FEATURE ENGINEERING IN M...
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IEEE International Conference on Acoustics, Speech and Signal Processing
作者: Tina Raissi Alessandro Tibo Paolo Bientinesi RWTH Aachen University AICES Schinkelstr. 2 52062 Aachen Germany University of Florence Department of Information Engineering Via S. Marta 3 50139 Firenze Italy
We present a feature engineering pipeline for the construction of musical signal characteristics, to be used for the design of a supervised model for musical genre identification. The key idea is to extend the traditi... 详细信息
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Slow Feature Networks and its Application to Dynamic Process Monitoring with Parallel Analysis of Linearity and Nonlinearity
Slow Feature Networks and its Application to Dynamic Process...
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第31届中国过程控制会议(CPCC 2020)
作者: SONG Pengyu ZHAO Chunhui HUANG Biao State Key Laboratory of Industrial Control Technology College of Control Science and EngineeringZhejiang University Department of Chemical and Materials Engineering University of Alberta
Due to the complexity of modern industrial processes, there may be both linear and nonlinear relationships exist among process variables. In addition, the dynamic behavior of the process also brings challenges to proc... 详细信息
来源: 评论