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Sparse Approximation Using M-Term Pursuits with Applications to Image and Video Compression

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Sparse Approximation Using M-Term Pursuits with Applications to Image and Video Compression

Summary

Sparse Approximation Using M-Term Pursuits with Applications to Image and Video Compression is a written work[1].

Key Facts

  • Sparse Approximation Using M-Term Pursuits with Applications to Image and Video Compression authored Adel Rahmoune[2].
  • Sparse Approximation Using M-Term Pursuits with Applications to Image and Video Compression's instance of is recorded as written work[3].
  • Sparse Approximation Using M-Term Pursuits with Applications to Image and Video Compression's instance of is recorded as scholarly article[4].
  • Sparse Approximation Using M-Term Pursuits with Applications to Image and Video Compression's publisher is recorded as Swiss Federal Institute of Technology in Lausanne[5].
  • Sparse Approximation Using M-Term Pursuits with Applications to Image and Video Compression's DOI is recorded as 10.1109/TIP.2011.2181525[6].
  • Sparse Approximation Using M-Term Pursuits with Applications to Image and Video Compression's language of work or name is recorded as English[7].
  • Sparse Approximation Using M-Term Pursuits with Applications to Image and Video Compression's publication date is recorded as +2005-00-00T00:00:00Z[8].
  • Sparse Approximation Using M-Term Pursuits with Applications to Image and Video Compression's PubMed publication ID is recorded as 22203716[9].
  • Sparse Approximation Using M-Term Pursuits with Applications to Image and Video Compression's zbMATH Open document ID is recorded as 1373.94846[10].
  • Sparse Approximation Using M-Term Pursuits with Applications to Image and Video Compression's main subject is recorded as image processing[11].
  • Sparse Approximation Using M-Term Pursuits with Applications to Image and Video Compression's main subject is recorded as image compression[12].
  • Sparse Approximation Using M-Term Pursuits with Applications to Image and Video Compression's main subject is recorded as video processing[13].
  • Sparse Approximation Using M-Term Pursuits with Applications to Image and Video Compression's main subject is recorded as video compression[14].
  • Sparse Approximation Using M-Term Pursuits with Applications to Image and Video Compression's main subject is recorded as Sparse modeling[15].
  • Sparse Approximation Using M-Term Pursuits with Applications to Image and Video Compression's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q1069725', 'amount': '+13'}[16].
  • Sparse Approximation Using M-Term Pursuits with Applications to Image and Video Compression's published in is recorded as IEEE Transactions on Image Processing[17].
  • Sparse Approximation Using M-Term Pursuits with Applications to Image and Video Compression's Semantic Scholar paper ID is recorded as c78a0d533409fd719f1f8db2931d8f87040086b6[18].
  • Sparse Approximation Using M-Term Pursuits with Applications to Image and Video Compression's ResearchGate publication ID is recorded as 37435970[19].
  • Sparse Approximation Using M-Term Pursuits with Applications to Image and Video Compression's maintained by WikiProject is recorded as WikiProject Mathematics[20].
  • Sparse Approximation Using M-Term Pursuits with Applications to Image and Video Compression's IEEE Xplore document ID is recorded as 6112221[21].
  • Sparse Approximation Using M-Term Pursuits with Applications to Image and Video Compression's Academia.edu publication ID is recorded as 10772972[22].
  • Sparse Approximation Using M-Term Pursuits with Applications to Image and Video Compression's Semantic Scholar corpus ID is recorded as 45911565[23].

Body

Designation and Status

Recorded instance of include written work[3] and scholarly article[4].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [3] ↑ . wikidata.org.
  2. [4] ↑ . wikidata.org.
  3. [2] ↑ . wikidata.org.
  4. [5] ↑ . wikidata.org.
  5. [6] ↑ . wikidata.org.
  6. [7] ↑ . wikidata.org.
  7. [8] ↑ . wikidata.org.
  8. [9] ↑ . wikidata.org.
  9. [10] ↑ . wikidata.org.
  10. [11] ↑ . wikidata.org.
  11. [12] ↑ . wikidata.org.
  12. [13] ↑ . wikidata.org.
  13. [14] ↑ . wikidata.org.
  14. [15] ↑ . wikidata.org.
  15. [16] ↑ . wikidata.org.
  16. [17] ↑ . wikidata.org.
  17. [18] ↑ . wikidata.org.
  18. [19] ↑ . wikidata.org.
  19. [20] ↑ . wikidata.org.
  20. [21] ↑ . wikidata.org.
  21. [22] ↑ . wikidata.org.
  22. [23] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Sparse Approximation Using M-Term Pursuits with Applications to Image and Video Compression. Retrieved May 3, 2026, from https://4ort.xyz/entity/sparse-approximation-using-m-term-pursuits-with-applications-to-image-and-video-compression
MLA “Sparse Approximation Using M-Term Pursuits with Applications to Image and Video Compression.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/sparse-approximation-using-m-term-pursuits-with-applications-to-image-and-video-compression.
BibTeX @misc{4ortxyz_sparse-approximation-using-m-term-pursuits-with-applications-to-image-and-video-compression_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Sparse Approximation Using M-Term Pursuits with Applications to Image and Video Compression}}, year = {2026}, url = {https://4ort.xyz/entity/sparse-approximation-using-m-term-pursuits-with-applications-to-image-and-video-compression}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Sparse Approximation Using M-Term Pursuits with Applications to Image and Video Compression — https://4ort.xyz/entity/sparse-approximation-using-m-term-pursuits-with-applications-to-image-and-video-compression (retrieved 2026-05-03)

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