Vote for your favorite mineral in #MinCup25! - Sanidine vs. Hematite
It's a pair of often-overlooked classics as potassium feldspar sanidine competes with iron ore hematite.
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

Uslu, Fatmatülzehra, Bharath, Anil Anthony (2019) A recursive Bayesian approach to describe retinal vasculature geometry. Pattern Recognition, 87. 157-169 doi:10.1016/j.patcog.2018.10.017

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleA recursive Bayesian approach to describe retinal vasculature geometry
JournalPattern Recognition
AuthorsUslu, FatmatülzehraAuthor
Bharath, Anil AnthonyAuthor
Year2019 (March)Volume87
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2018.10.017Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9367623Long-form Identifiermindat:1:5:9367623:4
GUID0
Full ReferenceUslu, Fatmatülzehra, Bharath, Anil Anthony (2019) A recursive Bayesian approach to describe retinal vasculature geometry. Pattern Recognition, 87. 157-169 doi:10.1016/j.patcog.2018.10.017
Plain TextUslu, Fatmatülzehra, Bharath, Anil Anthony (2019) A recursive Bayesian approach to describe retinal vasculature geometry. Pattern Recognition, 87. 157-169 doi:10.1016/j.patcog.2018.10.017
In(2019) Pattern Recognition Vol. 87. Elsevier BV

See Also

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

Beisner, H.M. (1968) A recursive Bayesian approach to pattern recognition. Pattern Recognition, 1 (1). 13-31 doi:10.1016/0031-3203(68)90012-5
Kumar, Debamita, Maji, Pradipta (2021) Rough-Bayesian approach to select class-pair specific descriptors for HEp-2 cell staining pattern recognition. Pattern Recognition, 117. 107982pp. doi:10.1016/j.patcog.2021.107982
Bhavana, Prasad, Padmanabhan, Vineet (2025) Temporal Matrix Factorization: A polynomial approach to latent factor estimation. Pattern Recognition, 157. doi:10.1016/j.patcog.2024.110905
Li, Ping, Chen, Songcan (2019) Gaussian process approach for metric learning. Pattern Recognition, 87. 17-28 doi:10.1016/j.patcog.2018.10.010
Thomas, A., John Oommen, B. (2014) Corrigendum to three papers that deal with “Anti”-Bayesian Pattern Recognition [Pattern Recognition]. Pattern Recognition, 47 (6). 2301-2302 doi:10.1016/j.patcog.2014.01.001
Sazak, Çiğdem, Nelson, Carl J., Obara, Boguslaw (2019) Erratum to ‘The multiscale bowler-hat transform for blood vessel enhancement in retinal images’ [Pattern Recognition 88 (2019) 739-750]. Pattern Recognition, 91. 404pp. doi:10.1016/j.patcog.2019.02.019
Prijatelj, Derek S., McCurrie, Mel, Anthony, Samuel E., Scheirer, Walter J. (2022) A Bayesian evaluation framework for subjectively annotated visual recognition tasks. Pattern Recognition, 123. 108395pp. doi:10.1016/j.patcog.2021.108395
Lu, Mingqi; Lu, Xiaobo; Liu, Jun (2026) Skeleton-prompt: A cross-dataset transfer learning approach for skeleton action recognition. Pattern Recognition, 169. doi:10.1016/j.patcog.2025.111885
(2019) Publisher’s Note: Introducing article numbering to Pattern Recognition. Pattern Recognition, 96. 106974pp. doi:10.1016/j.patcog.2019.106974
Nguyen, Thanh Phuong, Debled-Rennesson, Isabelle (2011) A discrete geometry approach for dominant point detection. Pattern Recognition, 44 (1). 32-44 doi:10.1016/j.patcog.2010.06.022
Ma, Benteng, Zhang, Yanning, Xia, Yong (2024) Momentum recursive DARTS. Pattern Recognition, 156. 110710 doi:10.1016/j.patcog.2024.110710
 
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 © 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: September 7, 2025 00:53:07
Go to top of page