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NIST · ИТ · 150ef8da5713fc94b552

150ef8da5713fc94b552 · In-plane Rotation and Scale Invariant Clustering and Dictionary Learning

In-plane Rotation and Scale Invariant Clustering and Dictionary Learning

n this paper, we present an approach that simulta- neously clusters images and learns dictionaries from the clusters. The method learns dictionaries in the Radon transform domain, while clustering in the image domain. The main feature of the proposed

Официальный источник · 2013-06-03

Полные импортированные сведения карточки
{
  "title_en": "In-plane Rotation and Scale Invariant Clustering and Dictionary Learning",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2013-06-03",
  "date_original": "June 3, 2013",
  "url": "https://www.nist.gov/publications/plane-rotation-and-scale-invariant-clustering-and-dictionary-learning",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "P J. Phillips , Challa Sastry, Yi-Chen Chen, Vishal M. Patel, Rama Chellappa",
  "abstract_excerpt_en": "n this paper, we present an approach that simulta- neously clusters images and learns dictionaries from the clusters. The method learns dictionaries in the Radon transform domain, while clustering in the image domain. The main feature of the proposed",
  "id": "150ef8da5713fc94b552",
  "sources": [
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    {
      "title_en": "In-plane Rotation and Scale Invariant Clustering and Dictionary Learning",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2013-06-03",
      "date_original": "June 3, 2013",
      "url": "https://www.nist.gov/publications/plane-rotation-and-scale-invariant-clustering-and-dictionary-learning",
      "source": "NIST Publications",
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      "authors_en": "P J. Phillips , Challa Sastry, Yi-Chen Chen, Vishal M. Patel, Rama Chellappa",
      "abstract_excerpt_en": "n this paper, we present an approach that simulta- neously clusters images and learns dictionaries from the clusters. The method learns dictionaries in the Radon transform domain, while clustering in the image domain. The main feature of the proposed"
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