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检索条件"主题词=Autoencoder"
4251 条 记 录,以下是471-480 订阅
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Clustering With Orthogonal autoencoder
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IEEE ACCESS 2019年 7卷 62421-62432页
作者: Wang, Wei Yang, Dan Chen, Feiyu Pang, Yunsheng Huang, Sheng Ge, Yongxin Chongqing Univ Key Lab Dependable Serv Comp Cyber Phys Soc Chongqing 400030 Peoples R China Chongqing Univ Sch Big Data & Software Engn Chongqing 400030 Peoples R China
Recently, clustering algorithms based on deep autoencoder attract lots of attention due to their excellent clustering performance. On the other hand, the success of PCA-Kmeans and spectral clustering corroborates that... 详细信息
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Supervised feature learning by adversarial autoencoder approach for object classification in dual X-ray image of luggage
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JOURNAL OF INTELLIGENT MANUFACTURING 2020年 第5期31卷 1101-1112页
作者: Chouai, Mohamed Merah, Mostefa Sancho-Gomez, Jose-Luis Mimi, Malika Mostaganem Univ Dept Elect Engn Signals & Syst Lab Site 1Route Belahcel Mostaganem 27000 Algeria Univ Politecn Cartagena Informat & Commun Technol Dept TDAM Res Grp Data Proc & Machine Learning Plaza Hosp 1 Murcia 30202 Spain
X-ray inspection by control officers is not always consistent when inspecting baggage since this task are monotonous, tedious and tiring for human inspectors. Thus, a semi-automatic inspection makes sense as a solutio... 详细信息
来源: 评论
Deep Learning Enabled autoencoder Architecture for Collaborative Filtering Recommendation in IoT Environment
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Computers, Materials & Continua 2021年 第7期68卷 487-503页
作者: Thavavel Vaiyapuri College of Computer Engineering and Sciences Prince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia
The era of the Internet of things(IoT)has marked a continued exploration of applications and services that can make people’s lives more convenient than ever ***,the exploration of IoT services also means that people ... 详细信息
来源: 评论
Learning Stretch-Shrink Latent Representations With autoencoder and K-Means for Software Defect Prediction
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IEEE ACCESS 2022年 10卷 117827-117835页
作者: Phan, Viet Anh Le Quy Don Tech Univ Fac Informat Technol Dept Informat Secur Hanoi 100000 Vietnam
Detecting defective source code to localize and fix bugs is important to reduce software development efforts. Although deep learning models have made a breakthrough in this field, many issues have not been resolved, s... 详细信息
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Integrating metadata into deep autoencoder for handling prediction task of collaborative recommender system
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MULTIMEDIA TOOLS AND APPLICATIONS 2023年 第14期83卷 42125页
作者: Behara, Gopal Yannam, V. Ramanjaneyulu Nayyar, Anand Bagal, Dilip Kumar Govt Coll Engn Kalahandi Dept Comp Sci & Engn Bhawanipatna 766003 Orissa India Natl Inst Technol Dept Comp Sci & Engn Rourkela 569008 Orissa India Duy Tan Univ Fac Informat Technol Grad Sch Da Nang 550000 Vietnam Govt Coll Engn Kalahandi Dept Mech Engn Bhawanipatna 766003 Orissa India
Nowadays, Deep learning (DL) techniques have been proven successful as learning techniques in various research fields ranging from computer vision to social networks. The approach of DL is flourishing in the field of ... 详细信息
来源: 评论
Hyperspectral Unmixing Using a Neural Network autoencoder
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IEEE ACCESS 2018年 6卷 25646-25656页
作者: Palsson, Burkni Sigurdsson, Jakob Sveinsson, Johannes R. Ulfarsson, Magnus O. Univ Iceland Fac Elect & Comp Engn IS-107 Reykjavik Iceland
In this paper, we present a deep learning based method for blind hyperspectral unmixing in the form of a neural network autoencoder. We show that the linear mixture model implicitly puts certain architectural constrai... 详细信息
来源: 评论
User-centric hybrid semi-autoencoder recommendation system
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MULTIMEDIA TOOLS AND APPLICATIONS 2022年 第16期81卷 23091-23104页
作者: Tewari, Anand Shanker Parhi, Ityendu Al-Turjman, Fadi Abhishek, Kumar Ghalib, Muhummad Rukunuddin Shankar, Achyut NIT Patna CSE Dept Patna Bihar India Near East Univ Dept Artificial Intelligence Engn Res Ctr AI & IoT Mersin 10 Nicosia Turkey Vellore Inst Technol Sch Comp Sci & Engn Vellore Tamil Nadu India Amity Univ Amity Sch Engn & Technol Dept CSE Noida India
Recommendation System is one of such solutions to overcome information overload issues and to identify products most relevant to users and provide suggestions to users for items they might be interested in consuming o... 详细信息
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Deep Manifold Preserving autoencoder for Classifying Breast Cancer Histopathological Images
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IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2020年 第1期17卷 91-101页
作者: Feng, Yangqin Zhang, Lei Mo, Juan Sichuan Univ Machine Intelligence Lab Coll Comp Sci Chengdu 610065 Sichuan Peoples R China
Classifying breast cancer histopathological images automatically is an important task in computer assisted pathology analysis. However, extracting informative and non-redundant features for histopathological image cla... 详细信息
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An autoencoder Based Background Subtraction for Public Surveillance
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IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES 2021年 第10期E104A卷 1445-1449页
作者: Li, Yue Yu, Xiaosheng Cao, Haijun Xu, Ming Northeastern Univ Sch Humanities & Law Shenyang 110819 Peoples R China Northeastern Univ Fac Robot Sci & Engn Shenyang 110819 Peoples R China Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Peoples R China
An autoencoder is trained to generate the background from the surveillance image by setting the training label as the shuffled input, instead of the input itself in a traditional autoencoder. Then the multi-scale feat... 详细信息
来源: 评论
autoencoder Feature Residuals for Network Intrusion Detection: Unsupervised Pre-training for Improved Performance  21
Autoencoder Feature Residuals for Network Intrusion Detectio...
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21st IEEE International Conference on Machine Learning and Applications (IEEE ICMLA)
作者: Lewandowski, Brian Paffenroth, Randy Worcester Polytech Inst Comp Sci Worcester MA 01609 USA Worcester Polytech Inst Data Sci Math Sci & Comp Sci Worcester MA 01609 USA
Network intrusion detection is a constantly evolving field as researchers and practitioners work towards keeping up with novel attacks and growing amounts of network data. To aid in this challenge researchers have bee... 详细信息
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