Cargando…

Low-rank models in visual analysis: theories, algorithms, and applications

Detalles Bibliográficos
Autores principales: Lin, Zhouchen, Zhang, Hongyang
Lenguaje:eng
Publicado: Elsevier Science 2017
Materias:
XX
Acceso en línea:http://cds.cern.ch/record/2283671
_version_ 1780955770243776512
author Lin, Zhouchen
Zhang, Hongyang
author_facet Lin, Zhouchen
Zhang, Hongyang
author_sort Lin, Zhouchen
collection CERN
id cern-2283671
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2017
publisher Elsevier Science
record_format invenio
spelling cern-22836712021-04-21T19:03:50Zhttp://cds.cern.ch/record/2283671engLin, ZhouchenZhang, HongyangLow-rank models in visual analysis: theories, algorithms, and applicationsXXElsevier Scienceoai:cds.cern.ch:22836712017
spellingShingle XX
Lin, Zhouchen
Zhang, Hongyang
Low-rank models in visual analysis: theories, algorithms, and applications
title Low-rank models in visual analysis: theories, algorithms, and applications
title_full Low-rank models in visual analysis: theories, algorithms, and applications
title_fullStr Low-rank models in visual analysis: theories, algorithms, and applications
title_full_unstemmed Low-rank models in visual analysis: theories, algorithms, and applications
title_short Low-rank models in visual analysis: theories, algorithms, and applications
title_sort low-rank models in visual analysis: theories, algorithms, and applications
topic XX
url http://cds.cern.ch/record/2283671
work_keys_str_mv AT linzhouchen lowrankmodelsinvisualanalysistheoriesalgorithmsandapplications
AT zhanghongyang lowrankmodelsinvisualanalysistheoriesalgorithmsandapplications