•  English
    • Persian
    • English
  •   Login
  • Ferdowsi University of Mashhad
  • |
  • Information Center and Central Library
    • Persian
    • English
  • Home
  • Source Types
    • Journal Paper
    • Ebook
    • Conference Paper
    • Standard
    • Protocol
    • Thesis
  • Use Help
View Item 
  •   FUM Digital Library
  • Fum
  • Articles
  • Latin Articles
  • View Item
  •   FUM Digital Library
  • Fum
  • Articles
  • Latin Articles
  • View Item
  • All Fields
  • Title
  • Author
  • Year
  • Publisher
  • Subject
  • Publication Title
  • ISSN
  • DOI
  • ISBN
Advanced Search
JavaScript is disabled for your browser. Some features of this site may not work without it.

To e or not to e in poisson image reconstruction

Author:
Oh, Albert K.
,
Harmany, Zachary T.
,
Willett, Rebecca M.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/BigData.Congress.2014.19
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1096149
Keyword(s): Big data,n Clustering algorithms,n Context,n Detection algorithms,n Detectors,n Mathematical model,n Real-time systems,n Big Data Analytics,n Contextual Anomaly Detection,n Multivariate Clustering,n Predictive Modelling
Collections :
  • Latin Articles
  • Show Full MetaData Hide Full MetaData
  • Statistics

    To e or not to e in poisson image reconstruction

Show full item record

contributor authorOh, Albert K.
contributor authorHarmany, Zachary T.
contributor authorWillett, Rebecca M.
date accessioned2020-03-12T22:50:03Z
date available2020-03-12T22:50:03Z
date issued2014
identifier other7025572.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1096149
formatgeneral
languageEnglish
publisherIEEE
titleTo e or not to e in poisson image reconstruction
typeConference Paper
contenttypeMetadata Only
identifier padid8236610
subject keywordsBig data
subject keywordsn Clustering algorithms
subject keywordsn Context
subject keywordsn Detection algorithms
subject keywordsn Detectors
subject keywordsn Mathematical model
subject keywordsn Real-time systems
subject keywordsn Big Data Analytics
subject keywordsn Contextual Anomaly Detection
subject keywordsn Multivariate Clustering
subject keywordsn Predictive Modelling
identifier doi10.1109/BigData.Congress.2014.19
journal titlemage Processing (ICIP), 2014 IEEE International Conference on
filesize231072
citations2
  • About Us
نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
DSpace software copyright © 2019-2022  DuraSpace