Watch the Dallas Symposium LIVE, and fundraiser auction
Ticket proceeds support mindat.org! - click here...
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Ru, Tielin, Zhu, Ziheng (2023) Deep Clustering Efficient Learning Network for Motion Recognition Based on Self-Attention Mechanism. Applied Sciences, 13 (5) 2996 doi:10.3390/app13052996

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleDeep Clustering Efficient Learning Network for Motion Recognition Based on Self-Attention Mechanism
JournalApplied Sciences
AuthorsRu, TielinAuthor
Zhu, ZihengAuthor
Year2023 (February 26)Volume13
Issue5
PublisherMDPI AG
DOIdoi:10.3390/app13052996Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID15721981Long-form Identifiermindat:1:5:15721981:6
GUID0
Full ReferenceRu, Tielin, Zhu, Ziheng (2023) Deep Clustering Efficient Learning Network for Motion Recognition Based on Self-Attention Mechanism. Applied Sciences, 13 (5) 2996 doi:10.3390/app13052996
Plain TextRu, Tielin, Zhu, Ziheng (2023) Deep Clustering Efficient Learning Network for Motion Recognition Based on Self-Attention Mechanism. Applied Sciences, 13 (5) 2996 doi:10.3390/app13052996
In(2023, February) Applied Sciences Vol. 13 (5) MDPI AG

See Also

These are possibly similar items as determined by title/reference text matching only.

Mekruksavanich, Sakorn, Phaphan, Wikanda, Hnoohom, Narit, Jitpattanakul, Anuchit (2023) Attention-Based Hybrid Deep Learning Network for Human Activity Recognition Using WiFi Channel State Information. Applied Sciences, 13 (15) 8884 doi:10.3390/app13158884
Cao, Jie, Zhang, Ru-Xuan, Liu, Chao-Qiang, Yang, Yuan-Bo, Chen, Chin-Ling (2023) A Group Resident Daily Load Forecasting Method Fusing Self-Attention Mechanism Based on Load Clustering. Applied Sciences, 13 (2) 1165 doi:10.3390/app13021165
Chen, Zehui, Wang, Changyuan, Wu, Gongpu (2024) Pupil Refinement Recognition Method Based on Deep Residual Network and Attention Mechanism. Applied Sciences, 14 (23). doi:10.3390/app142310971
Liu, Yalong, Liang, Chengwu, Jiang, Songqi, Zhu, Peiwang (2025) Video Human Action Recognition Based on Motion-Tempo Learning and Feedback Attention. Applied Sciences, 15 (8). doi:10.3390/app15084186
Gao, Yue, Li, Di, Chen, Xiangjian, Zhu, Junwu (2023) Attention-Based Mechanisms for Cognitive Reinforcement Learning. Applied Sciences, 13 (13) 7361 doi:10.3390/app13137361
Yan, Xiaodan (2023) Deep Learning-Based Efficient Analysis for Encrypted Traffic. Applied Sciences, 13 (21) 11776 doi:10.3390/app132111776
Zhang, Yun, Wang, Fengping (2023) HandFormer: A Dynamic Hand Gesture Recognition Method Based on Attention Mechanism. Applied Sciences, 13 (7) 4558 doi:10.3390/app13074558
Zhuang, Yi, Guo, Chenyi (2023) City Architectural Color Recognition Based on Deep Learning and Pattern Recognition. Applied Sciences, 13 (20) 11575 doi:10.3390/app132011575
Triki, Nesrine, Karray, Mohamed, Ksantini, Mohamed (2023) A Real-Time Traffic Sign Recognition Method Using a New Attention-Based Deep Convolutional Neural Network for Smart Vehicles. Applied Sciences, 13 (8) 4793 doi:10.3390/app13084793
Shi, Zonghan, Zhao, Haitao (2023) Deep Multi-View Clustering Based on Reconstructed Self-Expressive Matrix. Applied Sciences, 13 (15) 8791 doi:10.3390/app13158791
Xiong, Qingliang, Liu, Mingping, Li, Yuqin, Zheng, Chaodan, Deng, Suhui (2023) Short-Term Load Forecasting Based on VMD and Deep TCN-Based Hybrid Model with Self-Attention Mechanism. Applied Sciences, 13 (22) 12479 doi:10.3390/app132212479
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are Β© OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: August 17, 2025 21:39:52
Go to top of page