Computing quality scores and uncertainty for approximate pattern matching in geospatial semantic graphs-Reference-Cited by-同舟云学术

Computing quality scores and uncertainty for approximate pattern matching in geospatial semantic graphs

Published:2015-09-26 Issue:5-6 Volume:8 Page:340-352
ISSN:1932-1864
Container-title:Statistical Analysis and Data Mining: The ASA Data Science Journal
language:en
Short-container-title:Statistical Analysis and Data Mining: The ASA Data Science Journal

Author:

Stracuzzi David J.¹,Brost Randy C.¹,Phillips Cynthia A.¹,Robinson David G.¹,Wilson Alyson G.²,Woodbridge Diane M.‐K.¹

Affiliation:

1. Sandia National Laboratories, Center for Computing Research Albuquerque, NM 87185 USA

2. Department of Statistics North Carolina State University Raleigh, NC 27695‐8203 USA

Publisher

Wiley

Subject

Computer Science Applications,Information Systems,Analysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sam.11294

Reference18 articles.

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4. S.KlucknerandH.Bischof.Large‐scale aerial image interpretation using a redundant semantic classification In International Society for Photogrammetry and Remote Systems Vol XXXVIII Part 3B N. Paparoditis M. Pierrot‐Deseilligny C. Mallet and O. Tournaire eds. Copernicus Publications Paris 2010 66–71.

5. An object‐based system for lidar data fusion and feature extraction;O'Neil‐Dunne J. P.M.;Geocarto Int,2013

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