Vote for your favorite mineral in #MinCup25! - Topaz vs. Kyanite
It's a battle of high-pressure colourful beauties of #topaz vs #kyanite. Which can stand the heat of round 1?
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

Aytekin, Çağlar, Iosifidis, Alexandros, Kiranyaz, Serkan, Gabbouj, Moncef (2017) Learning graph affinities for spectral graph-based salient object detection. Pattern Recognition, 64. 159-167 doi:10.1016/j.patcog.2016.11.005

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleLearning graph affinities for spectral graph-based salient object detection
JournalPattern Recognition
AuthorsAytekin, ÇağlarAuthor
Iosifidis, AlexandrosAuthor
Kiranyaz, SerkanAuthor
Gabbouj, MoncefAuthor
Year2017 (April)Volume64
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2016.11.005Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9366846Long-form Identifiermindat:1:5:9366846:6
GUID0
Full ReferenceAytekin, Çağlar, Iosifidis, Alexandros, Kiranyaz, Serkan, Gabbouj, Moncef (2017) Learning graph affinities for spectral graph-based salient object detection. Pattern Recognition, 64. 159-167 doi:10.1016/j.patcog.2016.11.005
Plain TextAytekin, Çağlar, Iosifidis, Alexandros, Kiranyaz, Serkan, Gabbouj, Moncef (2017) Learning graph affinities for spectral graph-based salient object detection. Pattern Recognition, 64. 159-167 doi:10.1016/j.patcog.2016.11.005
In(2017) Pattern Recognition Vol. 64. Elsevier BV

See Also

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

Aytekin, Caglar, Iosifidis, Alexandros, Gabbouj, Moncef (2018) Probabilistic saliency estimation. Pattern Recognition, 74. 359-372 doi:10.1016/j.patcog.2017.09.023
Sohrab, Fahad, Iosifidis, Alexandros, Gabbouj, Moncef, Raitoharju, Jenni (2023) Graph-embedded subspace support vector data description. Pattern Recognition, 133. 108999 doi:10.1016/j.patcog.2022.108999
Iosifidis, Alexandros, Gabbouj, Moncef (2016) Nyström-based approximate kernel subspace learning. Pattern Recognition, 57. 190-197 doi:10.1016/j.patcog.2016.03.018
Sohrab, Fahad, Raitoharju, Jenni, Iosifidis, Alexandros, Gabbouj, Moncef (2021) Multimodal subspace support vector data description. Pattern Recognition, 110. 107648pp. doi:10.1016/j.patcog.2020.107648
Krestenitis, Marios, Passalis, Nikolaos, Iosifidis, Alexandros, Gabbouj, Moncef, Tefas, Anastasios (2020) Recurrent bag-of-features for visual information analysis. Pattern Recognition, 106. 107380pp. doi:10.1016/j.patcog.2020.107380
Iosifidis, Alexandros, Gabbouj, Moncef (2016) Multi-class Support Vector Machine classifiers using intrinsic and penalty graphs. Pattern Recognition, 55. 231-246 doi:10.1016/j.patcog.2016.02.002
Zhang, Jinxia, Ehinger, Krista A., Wei, Haikun, Zhang, Kanjian, Yang, Jingyu (2017) A novel graph-based optimization framework for salient object detection. Pattern Recognition, 64. 39-50 doi:10.1016/j.patcog.2016.10.025
Chumachenko, Kateryna, Raitoharju, Jenni, Iosifidis, Alexandros, Gabbouj, Moncef (2021) Speed-up and multi-view extensions to subclass discriminant analysis. Pattern Recognition, 111. 107660pp. doi:10.1016/j.patcog.2020.107660
Malik, Junaid, Kiranyaz, Serkan, Al-Raoush, Riyadh I., Monga, Olivier, Garnier, Patricia, Foufou, Sebti, Bouras, Abdelaziz, Iosifidis, Alexandros, Gabbouj, Moncef, Baveye, Philippe C. (2022) 3D Quantum Cuts for automatic segmentation of porous media in tomography images. Computers & Geosciences, 159. 105017 doi:10.1016/j.cageo.2021.105017
Zhang, Jinxia, Ehinger, Krista A., Wei, Haikun, Zhang, Kanjian, Yang, Jingyu (2017) Erratum to: A novel graph-based optimization framework for salient object detection [Pattern Recognition 64C (2017) 39–50]. Pattern Recognition, 71. 387-388 doi:10.1016/j.patcog.2017.05.016
Hedegaard, Lukas, Heidari, Negar, Iosifidis, Alexandros (2023) Continual spatio-temporal graph convolutional networks. Pattern Recognition, 140. 109528 doi:10.1016/j.patcog.2023.109528
 
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 13, 2025 03:15:46
Go to top of page