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Eigenvalues of sample covariance matrices are often used in biometrics. It has been known for several decades that even though the sample covariance matrix is an unbiased estimate of the real covariance matrix [Fukunaga,1990], the eigenvalues of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dris___00893::67fc2806252786ec585e05fc9c8f23aa
Autor:
Hendrikse, Anne, Veldhuis, Raymond, Spreeuwers, Luuk, van der Perre, Liesbet, Dejonghe, Antoine, Ramon, Valery
Publikováno v:
Proceedings of the 29th Symposium on Information Theory in the Benelux: Leuven, Belgium, May 29-30, 2008, 27-35
STARTPAGE=27;ENDPAGE=35;TITLE=Proceedings of the 29th Symposium on Information Theory in the Benelux
STARTPAGE=27;ENDPAGE=35;TITLE=Proceedings of the 29th Symposium on Information Theory in the Benelux
Eigenvalues of sample covariance matrices are often used in biometrics. It has been known for several decades that even though the sample covariance matrix is an unbiased estimate of the real covariance matrix [Fukunaga,1990], the eigenvalues of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::16745f0fcdeaef8cdb1ed291320ddd31
https://research.utwente.nl/en/publications/eigenvalue-correction-results-in-face-recognition(fe3280c8-0876-491d-b5e5-073cbe02ff64).html
https://research.utwente.nl/en/publications/eigenvalue-correction-results-in-face-recognition(fe3280c8-0876-491d-b5e5-073cbe02ff64).html