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Title: Compressed sensing for machine learning.

Abstract

Abstract not provided.

Authors:
;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA), Office of Defense Nuclear Nonproliferation (NA-20)
OSTI Identifier:
1431999
Report Number(s):
SAND2017-9787PE
656933
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the Joint UIUC/Sandia Data Science Workshop.
Country of Publication:
United States
Language:
English

Citation Formats

Lee, Dennis J, and Shields, Eric A. Compressed sensing for machine learning.. United States: N. p., 2017. Web.
Lee, Dennis J, & Shields, Eric A. Compressed sensing for machine learning.. United States.
Lee, Dennis J, and Shields, Eric A. Fri . "Compressed sensing for machine learning.". United States. https://www.osti.gov/servlets/purl/1431999.
@article{osti_1431999,
title = {Compressed sensing for machine learning.},
author = {Lee, Dennis J and Shields, Eric A.},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2017},
month = {9}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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