Zobrazeno 1 - 3
of 3
pro vyhledávání: '"George S. Eskander Ekladious"'
Publikováno v:
Cryptography, Vol 1, Iss 3, p 22 (2017)
Biometric traits, such as fingerprints, faces and signatures have been employed in bio-cryptosystems to secure cryptographic keys within digital security schemes. Reliable implementations of these systems employ error correction codes formulated as s
Externí odkaz:
https://doaj.org/article/2884c9a2d6474896a2e81f0eccb0c929
Publikováno v:
IEEE BigData
Kernel methods for machine learning have a strong mathematical basis and a proven modeling power. However, scalability of these methods is limited by the intensive computations they require. More specifically, for Gaussian Process, the covariance mat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7b697543b2b7ab24a7d57b84635e7e4
https://doi.org/10.1109/bigdata.2017.8258523
https://doi.org/10.1109/bigdata.2017.8258523
Publikováno v:
IEEE BigData
The Gaussian process framework models a function as a stochastic process such that the training data results into a finite number of jointly Gaussian random variables, whose properties can then be used to infer the statistics (the mean and variance)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c0e85021d1610655dc36049a97ceca6
https://doi.org/10.1109/bigdata.2016.7841074
https://doi.org/10.1109/bigdata.2016.7841074