Seokyong Hong

Works (2)

Updated: July 5th, 2023 15:39

2016 article

A Scalable Probabilistic Change Detection Algorithm for Very High Resolution (VHR) Satellite Imagery

2016 IEEE INTERNATIONAL CONGRESS ON BIG DATA - BIGDATA CONGRESS 2016, pp. 275–282.

By: S. Hong n & R. Vatsavai n 

author keywords: Probabilistic Change Detection; Satellite Image Processing; Spatial Data Mining; OpenMP
TL;DR: This work presents a sliding window based approach that produces changes at the native image resolution through thread-level parallelization on shared memory architectures and shows a 91% performance improvement compared to its sequential counterpart. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2015 journal article

Enabling graph mining in RDF triplestores using SPARQL for holistic in-situ graph analysis

EXPERT SYSTEMS WITH APPLICATIONS, 48, 9–25.

By: S. Lee *, S. Sukumar *, S. Hong n & S. Lim *

author keywords: Graph; Mining; Analysis; RDF; SPARQL; Triplestore; Semantic Web
TL;DR: This work implemented six representative graph mining algorithms using SPARQL and took an approach to enabling GM capabilities in RDF triplestores, which are originally developed to store RDF datasets and provide OLGAP capability. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

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