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

Li, Ping, Chen, Songcan (2018) Hierarchical Gaussian Processes model for multi-task learning. Pattern Recognition, 74. 134-144 doi:10.1016/j.patcog.2017.09.021

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleHierarchical Gaussian Processes model for multi-task learning
JournalPattern Recognition
AuthorsLi, PingAuthor
Chen, SongcanAuthor
Year2018 (February)Volume74
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2017.09.021Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9367174Long-form Identifiermindat:1:5:9367174:3
GUID0
Full ReferenceLi, Ping, Chen, Songcan (2018) Hierarchical Gaussian Processes model for multi-task learning. Pattern Recognition, 74. 134-144 doi:10.1016/j.patcog.2017.09.021
Plain TextLi, Ping, Chen, Songcan (2018) Hierarchical Gaussian Processes model for multi-task learning. Pattern Recognition, 74. 134-144 doi:10.1016/j.patcog.2017.09.021
In(2018) Pattern Recognition Vol. 74. Elsevier BV

See Also

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

Li, Ping, Chen, Songcan (2019) Gaussian process approach for metric learning. Pattern Recognition, 87. 17-28 doi:10.1016/j.patcog.2018.10.010
Ma, Zhongchen, Chen, Songcan (2021) Expand globally, shrink locally: Discriminant multi-label learning with missing labels. Pattern Recognition, 111. 107675pp. doi:10.1016/j.patcog.2020.107675
Li, Haixiang, Fang, Min, Li, Xiao, Chen, Bo, Wang, Guizhi (2025) Hierarchical multi-granular multi-label contrastive learning. Pattern Recognition, 164. doi:10.1016/j.patcog.2025.111567
Chen, Jingying, Yang, Lei, Tan, Lei, Xu, Ruyi (2022) Orthogonal channel attention-based multi-task learning for multi-view facial expression recognition. Pattern Recognition, 129. 108753 doi:10.1016/j.patcog.2022.108753
Zhang, Enhao, Geng, Chuanxing, Chen, Songcan (2025) Class-aware Universum Inspired re-balance learning for long-tailed recognition. Pattern Recognition, 161. doi:10.1016/j.patcog.2024.111337
Chen, Boyu, Guan, Wenlong, Li, Peixia, Ikeda, Naoki, Hirasawa, Kosuke, Lu, Huchuan (2021) Residual multi-task learning for facial landmark localization and expression recognition. Pattern Recognition, 115. 107893pp. doi:10.1016/j.patcog.2021.107893
Wang, Zhe, Chen, Songcan, Gao, Daqi (2011) A novel multi-view learning developed from single-view patterns. Pattern Recognition, 44 (10). 2395-2413 doi:10.1016/j.patcog.2011.04.002
Zheng, Yu, Fan, Jianping, Zhang, Ji, Gao, Xinbo (2017) Hierarchical learning of multi-task sparse metrics for large-scale image classification. Pattern Recognition, 67. 97-109 doi:10.1016/j.patcog.2017.01.029
Cao, Wenming, Qian, Sheng, Wu, Si, Wong, Hau-San (2019) Unsupervised Multi-task Learning with Hierarchical Data Structure. Pattern Recognition, 86. 248-264 doi:10.1016/j.patcog.2018.08.021
Gao, Nengneng, Huang, Sheng-Jun, Yan, Yifan, Chen, Songcan (2018) Cross modal similarity learning with active queries. Pattern Recognition, 75. 214-222 doi:10.1016/j.patcog.2017.05.011
Wang, Jiankun, Fei, Luhuan, Sun, Lu (2025) Multi-level network Lasso for multi-task personalized learning. Pattern Recognition, 161. doi:10.1016/j.patcog.2024.111213
 
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 18, 2025 03:55:48
Go to top of page