NIST · ИТ · 51ac4be4ac24f51a6387
Spatial Computations over Terabyte-Sized Images on Hadoop Platforms
Our objective is to lower the barrier of executing spatial image computations in a computer cluster/cloud environment instead of in a desktop/laptop computing environment. We research two related problems encountered during an execution of spatial
NIST · ИТОфициальный источник · 2014-10-27
{
"title_en": "Spatial Computations over Terabyte-Sized Images on Hadoop Platforms",
"designation": "",
"series": "",
"status": "",
"date": "2014-10-27",
"date_original": "October 27, 2014",
"url": "https://www.nist.gov/publications/spatial-computations-over-terabyte-sized-images-hadoop-platforms",
"source": "NIST Publications",
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"authors_en": "Peter Bajcsy , Antoine Vandecreme , Mary C. Brady , Phuong Nguyen",
"abstract_excerpt_en": "Our objective is to lower the barrier of executing spatial image computations in a computer cluster/cloud environment instead of in a desktop/laptop computing environment. We research two related problems encountered during an execution of spatial",
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{
"title_en": "Spatial Computations over Terabyte-Sized Images on Hadoop Platforms",
"designation": "",
"series": "",
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"date": "2014-10-27",
"date_original": "October 27, 2014",
"url": "https://www.nist.gov/publications/spatial-computations-over-terabyte-sized-images-hadoop-platforms",
"source": "NIST Publications",
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"authors_en": "Peter Bajcsy , Antoine Vandecreme , Mary C. Brady , Phuong Nguyen",
"abstract_excerpt_en": "Our objective is to lower the barrier of executing spatial image computations in a computer cluster/cloud environment instead of in a desktop/laptop computing environment. We research two related problems encountered during an execution of spatial"
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