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检索条件"主题词=Auto-Encoder"
784 条 记 录,以下是221-230 订阅
排序:
Hyperspectral image classification using an extended auto-encoder method
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SIGNAL PROCESSING-IMAGE COMMUNICATION 2021年 92卷 116111-116111页
作者: Ghasrodashti, Elham Kordi Sharma, Nabin Shiraz Univ Technol Dept Elect & Elect Engn Shiraz Iran Univ Technol Sydney Sch Comp Sci Fac Engn & Informat Technol Sydney NSW Australia
This article proposes a spectral-spatial method for classification of hyperspectral images (HSIs) by modifying traditional auto-encoder based on Majorization Minimization (MM) technique. The proposed method consists o... 详细信息
来源: 评论
automatic classification of nerve discharge rhythms based on sparse auto-encoder and time series feature
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BMC BIOINFORMATICS 2022年 第SUPPL 3期22卷 619-619页
作者: Jiang, Zhongting Wang, Dong Chen, Yuehui Univ Jinan Sch Informat Sci & Engn Jinan 250022 Peoples R China Shandong Prov Key Lab Network Based Intelligent C Jinan 250022 Peoples R China
Background Nerve discharge is the carrier of information transmission, which can reveal the basic rules of various nerve activities. Recognition of the nerve discharge rhythm is the key to correctly understand the dyn... 详细信息
来源: 评论
Unsupervised feature selection via transformed auto-encoder
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KNOWLEDGE-BASED SYSTEMS 2021年 215卷 106748-106748页
作者: Zhang, Yunhe Lu, Zhoumin Wang, Shiping Fuzhou Univ Coll Math & Comp Sci Fuzhou 350116 Peoples R China Fuzhou Univ Fujian Prov Key Lab Network Comp & Intelligent In Fuzhou 350116 Peoples R China
As one of the fundamental research issues, feature selection plays a critical role in machine learning. By the removal of irrelevant features, it attempts to reduce computational complexities of upstream tasks, usuall... 详细信息
来源: 评论
TRAFFIC DATA ANALYSIS USING DEEP ELMAN AND GATED RECURRENT auto-encoder
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NEURAL NETWORK WORLD 2021年 第6期30卷 347-363页
作者: Mehralian, S. Teshnehlab, M. Nasersharif, B. KN Toosi Univ Technol Comp Engn Fac Tehran Iran KN Toosi Univ Technol Ind Control Ctr Excellence Tehran Iran
Traffic flow prediction is one of the most interesting machine learning applications in real-world problems that can help anyone move around. In this study, we proposed a feature extraction structure for multivariate ... 详细信息
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A new deep auto-encoder method with fusing discriminant information for bearing fault diagnosis
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MECHANICAL SYSTEMS AND SIGNAL PROCESSING 2021年 150卷 107233-107233页
作者: Mao, Wentao Feng, Wushi Liu, Yamin Zhang, Di Liang, Xihui Henan Normal Univ Sch Comp & Informat Engn Xinxiang 453007 Henan Peoples R China Engn Lab Intelligence Business & Internet Things Xinxiang 453007 Henan Peoples R China Univ Manitoba Dept Mech Engn Winnipeg MB R3T 5V6 Canada
In recent years, deep learning techniques have been proved a promising tool for bearing fault diagnosis. However, to extract deep features with better representative ability, how to introduce discriminant information ... 详细信息
来源: 评论
Cramer-Wold auto-encoder
The Journal of Machine Learning Research
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The Journal of Machine Learning Research 2020年 第1期21卷 6594-6621页
作者: Szymon Knop Przemysław Spurek Jacek Tabor Igor Podolak Marcin Mazur Stanisław Jastrzebski Faculty of Mathematics and Computer Science Jagiellonian University Kraków Poland Center of Data Science Department of Radiology New York University New York
The computation of the distance to the true distribution is a key component of most state-of-the-art generative models. Inspired by prior works on the Sliced-Wasserstein auto-encoders (SWAE) and the Wasserstein auto-E... 详细信息
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Near-infrared fault detection based on stacked regularized auto-encoder network
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CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 2020年 204卷 104101-104101页
作者: Chen Zihao Luan Xiao-li Liu Fei Jiangnan Univ Inst Automat Key Lab Adv Proc Control Light Ind Minist Educ Wuxi 214122 Jiangsu Peoples R China
Near-infrared spectroscopy as a fast, efficient, non-destructive, and non-polluting technology is employed in this paper to acquire process data at the molecular level to detect the process fault. Due to the high intr... 详细信息
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Weakly-supervised auto-encoder via energy regularization and soft multi-label learning on k labeled samples
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NEUROCOMPUTING 2024年 585卷
作者: Wang, Huiling Sun, Jun Gu, Xiaofeng Hu, Zunhao Zhou, Chao Jiangnan Univ Sch IoT Engn Wuxi 214122 Peoples R China Jiangnan Univ Sch Artificial Intelligence & Comp Sci Wuxi 214122 Peoples R China
Image classification is a hot topic in computer vision tasks. As a simple unsupervised network model, autoencoder can learn and apply features to classification. However, due to the lack of prior knowledge of autoenco... 详细信息
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Design of Ensemble Stacked auto-encoder for Classification of Horse Gaits with MEMS Inertial Sensor Technology
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MICROMACHINES 2018年 第8期9卷 411-411页
作者: Lee, Jae-Neung Byeon, Yeong-Hyeon Kwak, Keun-Chang Chosun Univ Dept Control & Instrumentat Engn 375 Seosuk Dong Gwangju 501759 South Korea
This paper discusses the classification of horse gaits for self-coaching using an ensemble stacked auto-encoder (ESAE) based on wavelet packets from the motion data of the horse rider. For this purpose, we built an ES... 详细信息
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Breast Histopathological Image Classification Based on auto-encoder Reconstructed Domain Adaptation
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APPLIED SCIENCES-BASEL 2024年 第24期14卷 11802页
作者: Wang, Pin Zhang, Jinhua Li, Yongming Guo, Yurou Li, Pufei Chongqing Univ Sch Microelect & Commun Engn Chongqing 400044 Peoples R China
As an effective computer-aided diagnostic tool, deep learning has been successfully applied to the classification of breast histopathological images. However, the performance of the deep model is data-driven, and it i... 详细信息
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