Vote for your favorite mineral in #MinCup25! - Taenite vs. Nontronite
It's a mineral found mostly in the farthest reaches of space vs one so common an exhaustive list of localities is nigh impossible as alloy #taenite faces off against clay #nontronite.
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

Mikalsen, Karl Øyvind, Bianchi, Filippo Maria, Soguero-Ruiz, Cristina, Jenssen, Robert (2018) Time series cluster kernel for learning similarities between multivariate time series with missing data. Pattern Recognition, 76. 569-581 doi:10.1016/j.patcog.2017.11.030

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleTime series cluster kernel for learning similarities between multivariate time series with missing data
JournalPattern Recognition
AuthorsMikalsen, Karl ØyvindAuthor
Bianchi, Filippo MariaAuthor
Soguero-Ruiz, CristinaAuthor
Jenssen, RobertAuthor
Year2018 (April)Volume76
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2017.11.030Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9367285Long-form Identifiermindat:1:5:9367285:8
GUID0
Full ReferenceMikalsen, Karl Øyvind, Bianchi, Filippo Maria, Soguero-Ruiz, Cristina, Jenssen, Robert (2018) Time series cluster kernel for learning similarities between multivariate time series with missing data. Pattern Recognition, 76. 569-581 doi:10.1016/j.patcog.2017.11.030
Plain TextMikalsen, Karl Øyvind, Bianchi, Filippo Maria, Soguero-Ruiz, Cristina, Jenssen, Robert (2018) Time series cluster kernel for learning similarities between multivariate time series with missing data. Pattern Recognition, 76. 569-581 doi:10.1016/j.patcog.2017.11.030
In(2018) Pattern Recognition Vol. 76. Elsevier BV

See Also

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

Bianchi, Filippo Maria, Livi, Lorenzo, Mikalsen, Karl Øyvind, Kampffmeyer, Michael, Jenssen, Robert (2019) Learning representations of multivariate time series with missing data. Pattern Recognition, 96. 106973pp. doi:10.1016/j.patcog.2019.106973
Øyvind Mikalsen, Karl, Soguero-Ruiz, Cristina, Maria Bianchi, Filippo, Revhaug, Arthur, Jenssen, Robert (2021) Time series cluster kernels to exploit informative missingness and incomplete label information. Pattern Recognition, 115. 107896pp. doi:10.1016/j.patcog.2021.107896
Mikalsen, Karl Øyvind, Soguero-Ruiz, Cristina, Bianchi, Filippo Maria, Jenssen, Robert (2019) Noisy multi-label semi-supervised dimensionality reduction. Pattern Recognition, 90. 257-270 doi:10.1016/j.patcog.2019.01.033
Nordhaug Myhre, Jonas, Øyvind Mikalsen, Karl, Løkse, Sigurd, Jenssen, Robert (2018) Robust clustering using a kNN mode seeking ensemble. Pattern Recognition, 76. 491-505 doi:10.1016/j.patcog.2017.11.023
Blázquez-García, Ane, Wickstrøm, Kristoffer, Yu, Shujian, Mikalsen, Karl Øyvind, Boubekki, Ahcène, Conde, Angel, Mori, Usue, Jenssen, Robert, Lozano, Jose A. (2023) Selective Imputation for Multivariate Time Series Datasets With Missing Values. IEEE Transactions on Knowledge and Data Engineering, 35 (9) Institute of Electrical and Electronics Engineers (IEEE) 9490-9501 doi:10.1109/tkde.2023.3240858
Tuncel, Kerem Sinan, Baydogan, Mustafa Gokce (2018) Autoregressive forests for multivariate time series modeling. Pattern Recognition, 73. 202-215 doi:10.1016/j.patcog.2017.08.016
Li, Zhuo Lin, Zhang, Gao Wei, Yu, Jie, Xu, Ling Yu (2023) Dynamic graph structure learning for multivariate time series forecasting. Pattern Recognition, 138. 109423 doi:10.1016/j.patcog.2023.109423
Ye, Junjie; Zhou, Chengli; Zhou, Xiaojun; Huang, Yaqun; Zhao, Chunna (2026) CVACL-MA: Comprehensive variate analysis and collaborative learning with multi-adapter for multivariate time series forecasting. Pattern Recognition, 169. doi:10.1016/j.patcog.2025.111936
Li, Hailin, Liu, Zechen (2021) Multivariate time series clustering based on complex network. Pattern Recognition, 115. 107919pp. doi:10.1016/j.patcog.2021.107919
Younis, Raneen, Hakmeh, Abdul, Ahmadi, Zahra (2024) MTS2Graph: Interpretable multivariate time series classification with temporal evolving graphs. Pattern Recognition, 152. 110486 doi:10.1016/j.patcog.2024.110486
Wang, Haishuai, Zhang, Qin, Wu, Jia, Pan, Shirui, Chen, Yixin (2019) Time series feature learning with labeled and unlabeled data. Pattern Recognition, 89. 55-66 doi:10.1016/j.patcog.2018.12.026
 
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 15, 2025 02:11:49
Go to top of page