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

Fei, Lunke, Xu, Yong, Fang, Xiaozhao, Yang, Jian (2017) Low rank representation with adaptive distance penalty for semi-supervised subspace classification. Pattern Recognition, 67. 252-262 doi:10.1016/j.patcog.2017.02.017

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleLow rank representation with adaptive distance penalty for semi-supervised subspace classification
JournalPattern Recognition
AuthorsFei, LunkeAuthor
Xu, YongAuthor
Fang, XiaozhaoAuthor
Yang, JianAuthor
Year2017 (July)Volume67
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2017.02.017Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9366958Long-form Identifiermindat:1:5:9366958:0
GUID0
Full ReferenceFei, Lunke, Xu, Yong, Fang, Xiaozhao, Yang, Jian (2017) Low rank representation with adaptive distance penalty for semi-supervised subspace classification. Pattern Recognition, 67. 252-262 doi:10.1016/j.patcog.2017.02.017
Plain TextFei, Lunke, Xu, Yong, Fang, Xiaozhao, Yang, Jian (2017) Low rank representation with adaptive distance penalty for semi-supervised subspace classification. Pattern Recognition, 67. 252-262 doi:10.1016/j.patcog.2017.02.017
In(2017) Pattern Recognition Vol. 67. Elsevier BV

See Also

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

Wen, Jie, Zhang, Bob, Xu, Yong, Yang, Jian, Han, Na (2018) Adaptive weighted nonnegative low-rank representation. Pattern Recognition, 81. 326-340 doi:10.1016/j.patcog.2018.04.004
Zhao, Shuping, Wu, Jigang, Zhang, Bob, Fei, Lunke (2022) Low-rank inter-class sparsity based semi-flexible target least squares regression for feature representation. Pattern Recognition, 123. 108346pp. doi:10.1016/j.patcog.2021.108346
Zhao, Miaoyun, Jiao, Licheng, Ma, Wenping, Liu, Hongying, Yang, Shuyuan (2016) Classification and saliency detection by semi-supervised low-rank representation. Pattern Recognition, 51. 281-294 doi:10.1016/j.patcog.2015.09.008
Yang, Meng, Ling, Jie, Chen, Jiaming, Feng, Mao, Yang, Jian (2023) Discriminative semi-supervised learning via deep and dictionary representation for image classification. Pattern Recognition, 140. 109521 doi:10.1016/j.patcog.2023.109521
Xu, Yesong, Chen, Shuo, Li, Jun, Luo, Lei, Yang, Jian (2021) Learnable low-rank latent dictionary for subspace clustering. Pattern Recognition, 120. 108142pp. doi:10.1016/j.patcog.2021.108142
Tao, JianWen, Song, Dawei, Wen, Shiting, Hu, Wenjun (2017) Robust multi-source adaptation visual classification using supervised low-rank representation. Pattern Recognition, 61. 47-65 doi:10.1016/j.patcog.2016.07.006
Kim, Kyoungok (2016) A hybrid classification algorithm by subspace partitioning through semi-supervised decision tree. Pattern Recognition, 60. 157-163 doi:10.1016/j.patcog.2016.04.016
Fei, Lunke, Zhang, Bob, Xu, Yong, Jia, Wei, Wen, Jie, Wu, Jigang (2019) Precision direction and compact surface type representation for 3D palmprint identification. Pattern Recognition, 87. 237-247 doi:10.1016/j.patcog.2018.10.018
Zeng, Zhixiang; Sun, Weijun; Fang, Xiaozhao; Zhou, Guoxu; Xie, Shengli (2026) Joint low-rank and sparse components extraction for cross-domain recognition. Pattern Recognition, 171. doi:10.1016/j.patcog.2025.112121
Liu, Jianlun, Teng, Shaohua, Fei, Lunke, Zhang, Wei, Fang, Xiaozhao, Zhang, Zhuxiu, Wu, Naiqi (2021) A novel consensus learning approach to incomplete multi-view clustering. Pattern Recognition, 115. 107890pp. doi:10.1016/j.patcog.2021.107890
Fei, Lunke, Xu, Yong, Tang, Wenliang, Zhang, David (2016) Double-orientation code and nonlinear matching scheme for palmprint recognition. Pattern Recognition, 49. 89-101 doi:10.1016/j.patcog.2015.08.001
 
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 17:51:25
Go to top of page