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

Zhang, Chun-Yang, Zhao, Qi, Chen, C.L. Philip, Liu, Wenxi (2019) Deep compression of probabilistic graphical networks. Pattern Recognition, 96. 106979pp. doi:10.1016/j.patcog.2019.106979

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleDeep compression of probabilistic graphical networks
JournalPattern Recognition
AuthorsZhang, Chun-YangAuthor
Zhao, QiAuthor
Chen, C.L. PhilipAuthor
Liu, WenxiAuthor
Year2019 (December)Volume96
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2019.106979Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9367938Long-form Identifiermindat:1:5:9367938:3
GUID0
Full ReferenceZhang, Chun-Yang, Zhao, Qi, Chen, C.L. Philip, Liu, Wenxi (2019) Deep compression of probabilistic graphical networks. Pattern Recognition, 96. 106979pp. doi:10.1016/j.patcog.2019.106979
Plain TextZhang, Chun-Yang, Zhao, Qi, Chen, C.L. Philip, Liu, Wenxi (2019) Deep compression of probabilistic graphical networks. Pattern Recognition, 96. 106979pp. doi:10.1016/j.patcog.2019.106979
In(2019) Pattern Recognition Vol. 96. Elsevier BV

See Also

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

Yang, Yang, Chen, Bo, Liu, Hongwei (2022) Bayesian compression for dynamically expandable networks. Pattern Recognition, 122. 108260pp. doi:10.1016/j.patcog.2021.108260
Yao, Hong-Yu, Zhang, Chun-Yang, Yao, Zhi-Liang, Chen, C.L. Philip, Hu, Junfeng (2024) A recurrent graph neural network for inductive representation learning on dynamic graphs. Pattern Recognition, 154. 110577 doi:10.1016/j.patcog.2024.110577
Guo, Suhan, Lai, Bilan, Yang, Suorong, Zhao, Jian, Shen, Furao (2023) Sensitivity pruner: Filter-Level compression algorithm for deep neural networks. Pattern Recognition, 140. 109508 doi:10.1016/j.patcog.2023.109508
Feng, Bo, Chen, Bo, Liu, Hongwei (2017) Radar HRRP target recognition with deep networks. Pattern Recognition, 61. 379-393 doi:10.1016/j.patcog.2016.08.012
Xie, Hongtao, Yang, Dongbao, Sun, Nannan, Chen, Zhineng, Zhang, Yongdong (2019) Automated pulmonary nodule detection in CT images using deep convolutional neural networks. Pattern Recognition, 85. 109-119 doi:10.1016/j.patcog.2018.07.031
Zhang, Wanjun, Ding, Xiaohua, Liu, Yang, Qiao, Baojun (2023) Slide deep reinforcement learning networks: Application for left ventricle segmentation. Pattern Recognition, 141. 109667 doi:10.1016/j.patcog.2023.109667
Chen, Junhong, Li, Hong, Chen, C.L. Philip (2024) Boosting sharpness-aware training with dynamic neighborhood. Pattern Recognition, 153. 110496 doi:10.1016/j.patcog.2024.110496
Xie, Weicheng, Jia, Xi, Shen, Linlin, Yang, Meng (2019) Sparse deep feature learning for facial expression recognition. Pattern Recognition, 96. 106966pp. doi:10.1016/j.patcog.2019.106966
Zhao, Shuping, Zhang, Bob, Philip Chen, C.L. (2019) Joint deep convolutional feature representation for hyperspectral palmprint recognition. Information Sciences, 489. 167-181 doi:10.1016/j.ins.2019.03.027
Chen, Yu, Yang, Chunling, Zhang, Yan, Li, Yuze (2020) Deep conditional adaptation networks and label correlation transfer for unsupervised domain adaptation. Pattern Recognition, 98. 107072pp. doi:10.1016/j.patcog.2019.107072
Jiu, Mingyuan, Sahbi, Hichem (2019) Deep representation design from deep kernel networks. Pattern Recognition, 88. 447-457 doi:10.1016/j.patcog.2018.12.005
 
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 Β© 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 19, 2025 01:27:47
Go to top of page