1730f1561a85124fa43c · Ray-based classification framework for high-dimensional data
Ray-based classification framework for high-dimensional data
While classification of arbitrary structures in high dimensions may require complete quantitative information, for simple geometrical structures, low-dimensional qualitative information about the boundaries defining the structures can suffice. Rather than
{
"title_en": "Ray-based classification framework for high-dimensional data",
"designation": "",
"series": "",
"status": "",
"date": "2020-02-03",
"date_original": "February 3, 2020",
"url": "https://www.nist.gov/publications/ray-based-classification-framework-high-dimensional-data",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Justyna Zwolak , Jacob Taylor , Sandesh Kalantre, Thomas McJunkin, Brian Weber",
"abstract_excerpt_en": "While classification of arbitrary structures in high dimensions may require complete quantitative information, for simple geometrical structures, low-dimensional qualitative information about the boundaries defining the structures can suffice. Rather than",
"id": "1730f1561a85124fa43c",
"sources": [
"NIST Publications"
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"source_records": [
{
"title_en": "Ray-based classification framework for high-dimensional data",
"designation": "",
"series": "",
"status": "",
"date": "2020-02-03",
"date_original": "February 3, 2020",
"url": "https://www.nist.gov/publications/ray-based-classification-framework-high-dimensional-data",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Justyna Zwolak , Jacob Taylor , Sandesh Kalantre, Thomas McJunkin, Brian Weber",
"abstract_excerpt_en": "While classification of arbitrary structures in high dimensions may require complete quantitative information, for simple geometrical structures, low-dimensional qualitative information about the boundaries defining the structures can suffice. Rather than"
}
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}