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检索条件"主题词=sparse autoencoder"
252 条 记 录,以下是161-170 订阅
Lifted Bregman training of neural networks
The Journal of Machine Learning Research
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The Journal of Machine Learning Research 2023年 第1期24卷 10909-10959页
作者: Xiaoyu Wang Martin Benning Department of Applied Mathematics and Theoretical Physics University of Cambridge Cambridge UK School of Mathematical Sciences Queen Mary University of London London UK
We introduce a novel mathematical formulation for the training of feed-forward neural networks with (potentially non-smooth) proximal maps as activation functions. This formulation is based on Bregman distances and a ... 详细信息
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sparse autoencoder-based Feature Transfer Learning for Speech Emotion Recognition
Sparse Autoencoder-based Feature Transfer Learning for Speec...
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5th Biannual Conference of the Humaine-Association on Affective Computing and Intelligent Interaction (ACII)
作者: Deng, Jun Zhang, Zixing Marchi, Erik Schuller, Bjoern Tech Univ Munich MMK Machine Intelligence & Signal Proc Grp D-80290 Munich Germany
In speech emotion recognition, training and test data used for system development usually tend to fit each other perfectly, but further 'similar' data may be available. Transfer learning helps to exploit such ... 详细信息
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A Protocol-based Intrusion Detection System using Dual autoencoders  21
A Protocol-based Intrusion Detection System using Dual Autoe...
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21st IEEE International Conference on Software Quality, Reliability and Security (QRS)
作者: Huang, Yu-Lun Hung, Ching-Yu Hu, Hsiao-Te Natl Yang Ming Chiao Tung Univ Dept Elect & Comp Engn Hsinchu Taiwan Natl Yang Ming Chiao Tung Univ Inst Elect & Control Engn Hsinchu Taiwan
This paper proposes a dual autoencoder-based Intrusion Detection System (duAE-IDS) for the ever-changing network attacks. duAE-IDS is a protocol-based IDS, which divides traffic by its application-layer protocol. duAE... 详细信息
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Forest Fire Prediction with Imbalanced Data Using a Deep Neural Network Method
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FORESTS 2022年 第7期13卷 1129页
作者: Lai, Can Zeng, Shucai Guo, Wei Liu, Xiaodong Li, Yongquan Liao, Boyong Zhongkai Univ Agr & Engn Coll Hort & Landscape Architecture Guangzhou 510225 Peoples R China South China Agr Univ Coll Forestry & Landscape Architecture Guangzhou 510642 Peoples R China
Forests suffer from heavy losses due to the occurrence of fires. A prediction model based on environmental condition, such as meteorological and vegetation indexes, is considered a promising tool to control forest fir... 详细信息
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Predictive maintenance based on anomaly detection using deep learning for air production unit in the railway industry  8
Predictive maintenance based on anomaly detection using deep...
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8th IEEE International Conference on Data Science and Advanced Analytics (DSAA)
作者: Davari, Narjes Veloso, Bruno Ribeiro, Rita P. Pereira, Pedro Mota Gama, Joao LIAAD INESC TEC Porto Portugal Univ Portucalense LIAAD INESC TEC Porto Portugal Univ Porto LIAAD INESC TEC Porto Portugal
Predictive maintenance methods assist early detection of failures and errors in machinery before they reach critical stages. This study proposes a data-driven predictive maintenance framework for the air production un... 详细信息
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Gait phase recognition of lower limb exoskeleton system based on the integrated network model
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BIOMEDICAL SIGNAL PROCESSING AND CONTROL 2022年 第0期76卷 000-000页
作者: Zhang, Zaifang Wang, Zhaoyang Lei, Han Gu, Wenquan Shanghai Univ Sch Mechatron Engn & Automat Shanghai 200444 Peoples R China Shanghai Punan Hosp Shanghai 200125 Peoples R China
Exoskeleton robots have become an emerging technology in medical, industrial and military applications. Human gait phase recognition is the crucial technology for recognizing movement intention of the exoskeleton wear... 详细信息
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A key-factor denoising strategy for quasi periodic non-stationary incipient faults diagnosis
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MEASUREMENT 2022年 197卷
作者: Yang, Jing Xie, Guo Yang, Yanxi Tianshui Normal Univ Sch Mechatron & Automot Engn Tianshui 741000 Peoples R China Xian Univ Technol Sch Automat & Informat Engn Xian 710048 Peoples R China
Currently, the analysis method based on monitoring data has become an effective means of machinery fault diagnosis, and the fault diagnosis with obvious data features has achieved fruitful results. However, the incipi... 详细信息
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Gabor filter bank with deep autoencoder based face recognition system
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EXPERT SYSTEMS WITH APPLICATIONS 2022年 第0期197卷 116743-116743页
作者: Hammouche, Rabah Attia, Abdelouahab Akhrouf, Samir Akhtar, Zahid Mohamed El Bachir El Ibrahimi Univ Dept Comp Sci Bordj Bouarreridj 34000 Algeria Mohamed Boudiaf Univ Comp Sci & Its Applicat Lab Msila 28000 Algeria Mohamed El Bachir El Ibrahimi Univ LMSE Lab Bordj Bouarreridj 34000 Algeria Mohamed Boudiaf Univ Dept Comp Sci Msila 28000 Algeria State Univ New York Polytech Inst Dept Network & Comp Secur Utica NY 13502 USA
These days, face recognition systems are widely being employed in various daily applications such as smart phone unlocking, tracking school attendance, and secure online bank transactions, smarter border control, to n... 详细信息
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Patch-based sparse and Convolutional autoencoders for Anomaly Detection in Hyperspectral Images  28
Patch-based Sparse and Convolutional Autoencoders for Anomal...
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28th Iranian Conference on Electrical Engineering (ICEE)
作者: Rezvanian, Amir Reza Imani, Maryam Ghassemian, Hassan Tarbiat Modares Univ Fac Elect & Comp Engn Image Proc & Informat Anal Lab Tehran Iran
Anomaly target detection is one of the major aims of Hyperspectral Image (HSI) processing. Since anomalous pixels Compose a small fraction of the hyperspectral data cube, the use of supervised neural networks presents... 详细信息
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Broad fuzzy cognitive map systems for time series classification
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APPLIED SOFT COMPUTING 2022年 第0期128卷
作者: Wu, Kai Yuan, Kaixin Teng, Yingzhi Liu, Jing Jiao, Licheng Xidian Univ Sch Artificial Intelligence Xian Peoples R China Xidian Univ Guangzhou Inst Technol Guangzhou Peoples R China
Time series classification (TSC) is a crucial and challenging problem in sequential analysis. However, most of the existing best-performing methods are time-consuming, even if coping with small-scale datasets. Broad l... 详细信息
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