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

Schultz, David, Jain, Brijnesh (2018) Nonsmooth analysis and subgradient methods for averaging in dynamic time warping spaces. Pattern Recognition, 74. 340-358 doi:10.1016/j.patcog.2017.08.012

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleNonsmooth analysis and subgradient methods for averaging in dynamic time warping spaces
JournalPattern Recognition
AuthorsSchultz, DavidAuthor
Jain, BrijneshAuthor
Year2018 (February)Volume74
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2017.08.012Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9367148Long-form Identifiermindat:1:5:9367148:8
GUID0
Full ReferenceSchultz, David, Jain, Brijnesh (2018) Nonsmooth analysis and subgradient methods for averaging in dynamic time warping spaces. Pattern Recognition, 74. 340-358 doi:10.1016/j.patcog.2017.08.012
Plain TextSchultz, David, Jain, Brijnesh (2018) Nonsmooth analysis and subgradient methods for averaging in dynamic time warping spaces. Pattern Recognition, 74. 340-358 doi:10.1016/j.patcog.2017.08.012
In(2018) Pattern Recognition Vol. 74. Elsevier BV

See Also

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

Jain, Brijnesh J., Schultz, David (2018) Asymmetric learning vector quantization for efficient nearest neighbor classification in dynamic time warping spaces. Pattern Recognition, 76. 349-366 doi:10.1016/j.patcog.2017.10.029
Jain, Brijnesh J. (2019) Making the dynamic time warping distance warping-invariant. Pattern Recognition, 94. 35-52 doi:10.1016/j.patcog.2019.05.016
Morel, Marion, Achard, Catherine, Kulpa, Richard, Dubuisson, Séverine (2018) Time-series averaging using constrained dynamic time warping with tolerance. Pattern Recognition, 74. 77-89 doi:10.1016/j.patcog.2017.08.015
Brill, Markus, Fluschnik, Till, Froese, Vincent, Jain, Brijnesh, Niedermeier, Rolf, Schultz, David (2019) Exact mean computation in dynamic time warping spaces. Data Mining and Knowledge Discovery, 33. 252-291 doi:10.1007/s10618-018-0604-8
Okawa, Manabu (2021) Time-series averaging and local stability-weighted dynamic time warping for online signature verification. Pattern Recognition, 112. 107699pp. doi:10.1016/j.patcog.2020.107699
Zhao, Jiaping, Itti, Laurent (2018) shapeDTW: Shape Dynamic Time Warping. Pattern Recognition, 74. 171-184 doi:10.1016/j.patcog.2017.09.020
Jain, Brijnesh J. (2016) Statistical graph space analysis. Pattern Recognition, 60. 802-812 doi:10.1016/j.patcog.2016.06.023
Jain, Brijnesh J. (2018) The Mean Partition Theorem in consensus clustering. Pattern Recognition, 79. 427-439 doi:10.1016/j.patcog.2018.01.030
Jain, Brijnesh, Schultz, David (2020) Sufficient conditions for the existence of a sample mean of time series under dynamic time warping. Annals of Mathematics and Artificial Intelligence, 88 (4) 313-346 doi:10.1007/s10472-019-09682-2
Petitjean, François, Ketterlin, Alain, Gançarski, Pierre (2011) A global averaging method for dynamic time warping, with applications to clustering. Pattern Recognition, 44 (3). 678-693 doi:10.1016/j.patcog.2010.09.013
Jain, Brijnesh J. (2017) Consistency of mean partitions in consensus clustering. Pattern Recognition, 71. 26-35 doi:10.1016/j.patcog.2017.04.021
 
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: August 22, 2025 13:35:27
Go to top of page