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Title: Fully Supervised Non-Negative Matrix Factorization for Feature Extraction.

Abstract

Abstract not provided.

Authors:
; ;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Sandia National Laboratories, null
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1511901
Report Number(s):
SAND2018-4770C
662794
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the IGARSS 2018 held July 23-27, 2018.
Country of Publication:
United States
Language:
English

Citation Formats

Austin, Woody, Anderson, Dylan Zachary, and Ghosh, Joydeep. Fully Supervised Non-Negative Matrix Factorization for Feature Extraction.. United States: N. p., 2018. Web. doi:10.1109/IGARSS.2018.8518592.
Austin, Woody, Anderson, Dylan Zachary, & Ghosh, Joydeep. Fully Supervised Non-Negative Matrix Factorization for Feature Extraction.. United States. doi:10.1109/IGARSS.2018.8518592.
Austin, Woody, Anderson, Dylan Zachary, and Ghosh, Joydeep. Tue . "Fully Supervised Non-Negative Matrix Factorization for Feature Extraction.". United States. doi:10.1109/IGARSS.2018.8518592. https://www.osti.gov/servlets/purl/1511901.
@article{osti_1511901,
title = {Fully Supervised Non-Negative Matrix Factorization for Feature Extraction.},
author = {Austin, Woody and Anderson, Dylan Zachary and Ghosh, Joydeep},
abstractNote = {Abstract not provided.},
doi = {10.1109/IGARSS.2018.8518592},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {5}
}

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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