NIST · ИТ · db827613395200ae5f0a
Theoretical Bounds on Data Requirements for the Ray-Based Classification
The problem of classifying high-dimensional shapes in real-world data grows in complexity as the dimension of the space increases. For the case of identifying convex shapes of different geometries, a new classification framework has recently been proposed
NIST · ИТОфициальный источник · 2021-11-10
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"title_en": "Theoretical Bounds on Data Requirements for the Ray-Based Classification",
"designation": "",
"series": "",
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"date": "2021-11-10",
"date_original": "November 10, 2021",
"url": "https://www.nist.gov/publications/theoretical-bounds-data-requirements-ray-based-classification",
"source": "NIST Publications",
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"authors_en": "Brian Weber, Sandesh Kalantre, Thomas McJunkin, Jacob Taylor , Justyna Zwolak",
"abstract_excerpt_en": "The problem of classifying high-dimensional shapes in real-world data grows in complexity as the dimension of the space increases. For the case of identifying convex shapes of different geometries, a new classification framework has recently been proposed",
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"title_en": "Theoretical Bounds on Data Requirements for the Ray-Based Classification",
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"authors_en": "Brian Weber, Sandesh Kalantre, Thomas McJunkin, Jacob Taylor , Justyna Zwolak",
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