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检索条件"主题词=autoencoder"
4251 条 记 录,以下是241-250 订阅
排序:
A Wavelet-Based Memory autoencoder for Noncontact Fingerprint Presentation Attack Detection
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IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 2024年 19卷 8717-8730页
作者: Liu, Yi-Peng Yu, Hangtao Fang, Haonan Li, Zhanqing Chen, Peng Liang, Ronghua Zhejiang Univ Technol Coll Comp Sci & Technol Hangzhou 310023 Peoples R China
Fingerprint presentation attack detection (FPAD) is essential in fingerprint identification systems. Noncontact methods such as fingerprint biometrics are becoming popular because they are not affected by skin conditi... 详细信息
来源: 评论
autoencoder Image Denoising to Increase Optical Character Recognition Performance in Text Conversion
Autoencoder Image Denoising to Increase Optical Character Re...
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International Conference on Advanced Creative Networks and Intelligent Systems (ICACNIS) - Blockchain Technology, Intelligent Systems, and the Applications for Human Life
作者: Alamsyah, Nur Fauzan, Mohamad Nurkamal Putrada, Aji Gautama Pane, Syafrial Fachri Telkom Univ Adv & Creat Networks Res Ctr Bandung Indonesia
Document digitization has an important role in helping the company's activities be more efficient, such as detecting text in invoice document images using optical character recognition (OCR). However, writing in i... 详细信息
来源: 评论
ContrastNet: Unsupervised feature learning by autoencoder and prototypical contrastive learning for hyperspectral imagery classification
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NEUROCOMPUTING 2021年 460卷 71-83页
作者: Cao, Zeyu Li, Xiaorun Feng, Yueming Chen, Shuhan Xia, Chaoqun Zhao, Liaoying Zhejiang Univ Coll Elect Engn 38 Zheda Rd Hangzhou 310027 Peoples R China State Grid Jiaxing Power Supply Co Jiaxing 314100 Zhejiang Peoples R China HangZhou Dianzi Univ China Inst Comp Applicat Technol Hangzhou 310018 Peoples R China
Hyperspectral classification is a fundamental problem for applying hyperspectral technology, and unsupervised learning is a promising direction to address the issue. Unsupervised feature learning algorithm extracts re... 详细信息
来源: 评论
An autoencoder with adaptive transfer learning for intelligent fault diagnosis of rotating machinery
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MEASUREMENT SCIENCE AND TECHNOLOGY 2021年 第5期32卷
作者: Tang, Zhi Bo, Lin Liu, Xiaofeng Wei, Daiping Chongqing Univ State Key Lab Mech Transmiss Chongqing 400044 Peoples R China
Under variable working conditions, a problem arises, which is that it is difficult to obtain enough labeled data;to address this problem, an adaptive transfer autoencoder (ATAE) is established to diagnose faults in ro... 详细信息
来源: 评论
Evolving Domain Generalization via Latent Structure-Aware Sequential autoencoder
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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2023年 第12期45卷 14514-14527页
作者: Qin, Tiexin Wang, Shiqi Li, Haoliang City Univ Hong Kong Dept Elect & Engn Kowloon Hong Kong Peoples R China City Univ Hong Kong Sch Comp Sci Kowloon Hong Kong Peoples R China
Domain generalization (DG) refers to the problem of generalizing machine learning systems to out-of-distribution (OOD) data with knowledge learned from several provided source domains. Most prior works confine themsel... 详细信息
来源: 评论
High Accuracy Individual Identification Model of Crested Ibis <italic>(Nipponia Nippon)</italic>Based on autoencoder With Self-Attention
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IEEE ACCESS 2020年 8卷 41062-41070页
作者: Xie, Jiangjian Yang, Jun Ding, Changqing Li, Wenbin Beijing Forestry Univ Sch Technol Beijing 100083 Peoples R China Beijing Forestry Univ Key Lab Natl Forestry & Grass Land Adm Forestry E Beijing 100083 Peoples R China Beijing Forestry Univ Sch Ecol & Nat Conservat Beijing 100083 Peoples R China
As the population and the distribution of Crested Ibis (Nipponia nippon) become larger, it is necessary to propose a highly efficient census method to estimate the population size of the Crested Ibis. Passive acoustic... 详细信息
来源: 评论
Novel method for the detection of adulterants in coffee and the determination of a coffee's geographical origin using near infrared spectroscopy complemented by an autoencoder
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INTERNATIONAL JOURNAL OF FOOD SCIENCE AND TECHNOLOGY 2023年 第3期58卷 1284-1298页
作者: Munyendo, Leah Njoroge, Daniel Zhang, Yanyan Hitzmann, Bernd Univ Hohenheim Dept Proc Analyt & Cereal Sci Garbenstr 23 D-70599 Stuttgart Germany Dedan Kimathi Univ Technol Inst Food Bioresources Technol Dedan Kimathi 10143 Nyeri Kenya Univ Hohenheim Dept Flavor Chem Fruwirthstr 12 D-70599 Stuttgart Germany
Coffee authenticity is a foundational aspect of quality when considering coffee's market value. This has become important given frequent adulteration and mislabelling for economic gains. Therefore, this research a... 详细信息
来源: 评论
Classification of recurrent major depressive disorder using a residual denoising autoencoder framework: Insights from large-scale multisite fMRI data
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COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2024年 247卷 108114-108114页
作者: Dai, Peishan Shi, Yun Lu, Da Zhou, Ying Luo, Jialin He, Zhuang Chen, Zailiang Zou, Beiji Tang, Hui Huang, Zhongchao Liao, Shenghui Cent South Univ Sch Comp Sci & Engn Changsha 410083 Hunan Peoples R China Cent South Univ Xiangya Hosp 2 Dept Psychiat Changsha 410083 Hunan Peoples R China Cent South Univ Xiangya Hosp 2 Natl Clin Res Ctr Mental Disorders Changsha 410083 Hunan Peoples R China Cent South Univ Sch Basic Med Sci Dept Biomed Engn Changsha 410083 Hunan Peoples R China
Background and objective: Recurrent major depressive disorder (rMDD) has a high recurrence rate, and symptoms often worsen with each episode. Classifying rMDD using functional magnetic resonance imaging (fMRI) can enh... 详细信息
来源: 评论
Disentangled-Multimodal Adversarial autoencoder: Application to Infant Age Prediction With Incomplete Multimodal Neuroimages
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IEEE TRANSACTIONS ON MEDICAL IMAGING 2020年 第12期39卷 4137-4149页
作者: Hu, Dan Zhang, Han Wu, Zhengwang Wang, Fan Wang, Li Smith, J. Keith Lin, Weili Li, Gang Shen, Dinggang Univ N Carolina Dept Radiol Chapel Hill NC 27599 USA Korea Univ Dept Artificial Intelligence Seoul 02841 South Korea
Effective fusion of structural magnetic resonance imaging (sMRI) and functional magnetic resonance imaging (fMRI) data has the potential to boost the accuracy of infant age prediction thanks to the complementary infor... 详细信息
来源: 评论
Signal-to-noise ratio enhancement for Raman spectra based on optimized Raman spectrometer and convolutional denoising autoencoder
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JOURNAL OF RAMAN SPECTROSCOPY 2021年 第4期52卷 890-900页
作者: Fan, Xian-guang Zeng, Yingjie Zhi, Yu-Liang Nie, Ting Xu, Ying-jie Wang, Xin Xiamen Univ Dept Instrumental & Elect Engn Xiamen 361102 Fujian Peoples R China Xiamen Key Lab Optoelect Transducer Technol Fujian Key Lab Univ & Coll Transducer Technol Xiamen Peoples R China
The signal-noise ratio plays a key role in acquiring plentiful chemical structural information in the Raman spectrometer. The miniature spectrometer is generally compact at the expense of performance. In this work, we... 详细信息
来源: 评论