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

Schleif, Frank-Michael, Tino, Peter (2017) Indefinite Core Vector Machine. Pattern Recognition, 71. 187-195 doi:10.1016/j.patcog.2017.06.003

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleIndefinite Core Vector Machine
JournalPattern Recognition
AuthorsSchleif, Frank-MichaelAuthor
Tino, PeterAuthor
Year2017 (November)Volume71
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2017.06.003Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9367061Long-form Identifiermindat:1:5:9367061:0
GUID0
Full ReferenceSchleif, Frank-Michael, Tino, Peter (2017) Indefinite Core Vector Machine. Pattern Recognition, 71. 187-195 doi:10.1016/j.patcog.2017.06.003
Plain TextSchleif, Frank-Michael, Tino, Peter (2017) Indefinite Core Vector Machine. Pattern Recognition, 71. 187-195 doi:10.1016/j.patcog.2017.06.003
In(2017) Pattern Recognition Vol. 71. Elsevier BV

See Also

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

An, Yuexuan, Xue, Hui (2022) Indefinite twin support vector machine with DC functions programming. Pattern Recognition, 121. 108195pp. doi:10.1016/j.patcog.2021.108195
Xu, Jianhua (2013) Fast multi-label core vector machine. Pattern Recognition, 46 (3). 885-898 doi:10.1016/j.patcog.2012.09.003
Xu, Jianhua (2014) Multi-label core vector machine with a zero label. Pattern Recognition, 47 (7). 2542-2557 doi:10.1016/j.patcog.2014.01.012
Wang, Xin, Thome, Nicolas, Cord, Matthieu (2017) Gaze latent support vector machine for image classification improved by weakly supervised region selection. Pattern Recognition, 72. 59-71 doi:10.1016/j.patcog.2017.07.001
Chen, Dandan, Tian, Yingjie, Liu, Xiaohui (2016) Structural nonparallel support vector machine for pattern recognition. Pattern Recognition, 60. 296-305 doi:10.1016/j.patcog.2016.04.017
Zhang, Xin, Zhang, Xiu (2017) WITHDRAWN: Adaptive multiclass support vector machine for multimodal data analysis. Pattern Recognition, 70. 177-184 doi:10.1016/j.patcog.2017.05.006
Wang, Di, Zhang, Bo, Zhang, Peng, Qiao, Hong (2010) An online core vector machine with adaptive MEB adjustment. Pattern Recognition, 43 (10). 3468-3482 doi:10.1016/j.patcog.2010.05.020
Peng, Xinjun (2011) TPMSVM: A novel twin parametric-margin support vector machine for pattern recognition. Pattern Recognition, 44 (10). 2678-2692 doi:10.1016/j.patcog.2011.03.031
Chuang, Chao-Fa, Shih, Frank Y. (2006) Recognizing facial action units using independent component analysis and support vector machine. Pattern Recognition, 39 (9). 1795-1798 doi:10.1016/j.patcog.2006.03.017
Shen, Xin, Niu, Lingfeng, Qi, Zhiquan, Tian, Yingjie (2017) Support vector machine classifier with truncated pinball loss. Pattern Recognition, 68. 199-210 doi:10.1016/j.patcog.2017.03.011
Wang, Huajun, Shao, Yuanhai (2024) Fast generalized ramp loss support vector machine for pattern classification. Pattern Recognition, 146. 109987 doi:10.1016/j.patcog.2023.109987
 
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 18:39:12
Go to top of page