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

Deng, Cheng, Liu, Xianglong, Li, Chao, Tao, Dacheng (2018) Active multi-kernel domain adaptation for hyperspectral image classification. Pattern Recognition, 77. 306-315 doi:10.1016/j.patcog.2017.10.007

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleActive multi-kernel domain adaptation for hyperspectral image classification
JournalPattern Recognition
AuthorsDeng, ChengAuthor
Liu, XianglongAuthor
Li, ChaoAuthor
Tao, DachengAuthor
Year2018 (May)Volume77
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2017.10.007Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9367291Long-form Identifiermindat:1:5:9367291:9
GUID0
Full ReferenceDeng, Cheng, Liu, Xianglong, Li, Chao, Tao, Dacheng (2018) Active multi-kernel domain adaptation for hyperspectral image classification. Pattern Recognition, 77. 306-315 doi:10.1016/j.patcog.2017.10.007
Plain TextDeng, Cheng, Liu, Xianglong, Li, Chao, Tao, Dacheng (2018) Active multi-kernel domain adaptation for hyperspectral image classification. Pattern Recognition, 77. 306-315 doi:10.1016/j.patcog.2017.10.007
In(2018) Pattern Recognition Vol. 77. Elsevier BV

See Also

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

Deng, Cheng, Xue, Yumeng, Liu, Xianglong, Li, Chao, Tao, Dacheng (2019) Active Transfer Learning Network: A Unified Deep Joint Spectral–Spatial Feature Learning Model for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 57 (3) 1741-1754 doi:10.1109/tgrs.2018.2868851
Shi, Meilin, Ren, Jiansi (2025) Multi-branch feature transformation cross-domain few-shot learning for hyperspectral image classification. Pattern Recognition, 160. doi:10.1016/j.patcog.2024.111197
Yin, Yueming, Yang, Zhen, Hu, Haifeng, Wu, Xiaofu (2022) Universal multi-Source domain adaptation for image classification. Pattern Recognition, 121. 108238pp. doi:10.1016/j.patcog.2021.108238
Jiang, Zhiyu; Li, Jianing; Xu, Shijie; Liu, Zhuozhao; Ma, Dandan; Wang, Qi; Yuan, Yuan (2025) Cross-domain hyperspectral image classification. Pattern Recognition, 168. doi:10.1016/j.patcog.2025.111836
Shi, Cheng, Fang, Li, Lv, Zhiyong, Zhao, Minghua (2022) Explainable scale distillation for hyperspectral image classification. Pattern Recognition, 122. 108316pp. doi:10.1016/j.patcog.2021.108316
Shi, Cheng, Pun, Chi-Man (2018) Superpixel-based 3D deep neural networks for hyperspectral image classification. Pattern Recognition, 74. 600-616 doi:10.1016/j.patcog.2017.09.007
Huang, Shiluo, Liu, Zheng, Jin, Wei, Mu, Ying (2024) Superpixel-based multi-scale multi-instance learning for hyperspectral image classification. Pattern Recognition, 149. 110257 doi:10.1016/j.patcog.2024.110257
Ruta, Andrzej, Li, Yongmin (2012) Learning pairwise image similarities for multi-classification using Kernel Regression Trees. Pattern Recognition, 45 (4). 1396-1408 doi:10.1016/j.patcog.2011.09.028
Liu, Li, Sun, Haocheng, Li, Fanzhang (2023) A Lie group kernel learning method for medical image classification. Pattern Recognition, 142. 109735 doi:10.1016/j.patcog.2023.109735
Liu, Bo, Cheng, H.D., Huang, Jianhua, Tian, Jiawei, Tang, Xianglong, Liu, Jiafeng (2010) Probability density difference-based active contour for ultrasound image segmentation. Pattern Recognition, 43 (6). 2028-2042 doi:10.1016/j.patcog.2010.01.002
Li, Jun, Tao, Dacheng, Li, Xuelong (2012) A probabilistic model for image representation via multiple patterns. Pattern Recognition, 45 (11). 4044-4053 doi:10.1016/j.patcog.2012.04.021
 
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 30, 2025 22:38:28
Go to top of page