| 21. | Let be the covariance matrix and.
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| 22. | The eigenfaces themselves form a basis set of all images used to construct the covariance matrix.
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| 23. | This means that all of these sources of errors can be represented by a covariance matrix.
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| 24. | As an alternative, many methods have been suggested to improve the estimation of the covariance matrix.
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| 25. | Estimate the portfolio covariance matrix taking into account the development of the news sentiment score for volume.
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| 26. | PCA begins by computing the covariance matrix of the m \ times n matrix \ mathbf { X}
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| 27. | The basis functions are typically found by computing the eigenvectors of the covariance matrix of the data set.
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| 28. | Assuming zero-mean Gaussian white noise, the basic model of the spatial covariance matrix is given by
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| 29. | The covariance matrix ? is the multidimensional analog of what in one dimension would be the variance, and
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| 30. | The covariance matrix adaptation ( CMA ) is a method to update the covariance matrix of this distribution.
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