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Showing 41 - 60 results of 306 for search '"covariance matrix"', query time: 0.35s Refine Results
  1. 41
    by Rudolf Ressel, Suman Singha
    Published in Remote Sensing (2016)
    ... and covariance matrix, we extract a number of features and analyze the relevance and redundancy by means...
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  2. 42
    ... conjugate inverse Wishart prior distribtion. However, the inverse Wishart prior for the covariance matrix...
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    Dataset
  3. 43
    ... of the IAA algorithm, but also considers the noise term in the covariance matrix estimation. By doing so...
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    Text
  4. 44
    by Ressel, Rudolf, Singha, Suman
    Published in Remote Sensing (2016)
    ... and covariance matrix, we extract a number of features and analyze the relevance and redundancy by means...
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    Article in Journal/Newspaper
  5. 45
    ... intercepts and slopes in the model. A model with the autoregressive moving average residual covariance matrix...
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  6. 46
    ... covariance matrix, which is inexpensive to invert. In this paper a set of idealized experiments are carried...
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    Article in Journal/Newspaper
  7. 47
    ... conjugate inverse Wishart prior distribution. However, the inverse Wishart prior for the covariance matrix...
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    Text
  8. 48
  9. 49
    .... Based on the common coherency and covariance matrix, we extract a number of features and analyze...
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    Conference Object
  10. 50
    ... conjugate inverse Wishart prior distribution. However, the inverse Wishart prior for the covariance matrix...
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    Article in Journal/Newspaper
  11. 51
    ...-dependence coefficient for line mixing. The full uncertainty covariance matrix is then computed for the set...
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  12. 52
    by Denbina, Michael
    Published 2014
    ..., wherein quad-pol covariance matrix elements are approximated using the compact polarimetric covariance...
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    Doctoral or Postdoctoral Thesis
  13. 53
    ... conjugate inverse Wishart prior distribution. However, the inverse Wishart prior for the covariance matrix...
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    Article in Journal/Newspaper
  14. 54
    ... covariance matrix is preferable. However, if the retrieval fails to pass the quality control tests...
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    Other/Unknown Material
  15. 55
    ... problem in the form of the mean density model and the posterior covariance matrix follows a least squares...
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  16. 56
    ... problem in the form of the mean density model and the posterior covariance matrix follows a least squares...
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    Article in Journal/Newspaper
  17. 57
    ... of the IAA algorithm, but also considers the noise term in the covariance matrix estimation. By doing so...
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    Article in Journal/Newspaper
  18. 58
  19. 59
    ... covariance matrix is preferable. However, if the retrieval fails to pass the quality control tests...
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  20. 60
    ... covariance matrix that is based on the SO 2 -free climatology of the differences between the IASI and forward...
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    Article in Journal/Newspaper
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