Covariances in computer vision and machine learning
Auteur :
Minh, HÃ Quang / Murino, Vittorio
Éditeur :
Springer International Publishing AG
ISBN :
9783031006920
Date de publication :
7 nov. 2017
Dimensions :
23,5 x 19,1 cm
Langue :
Anglais
Pays d'origine :
Suisse
Computationally, we focus on kernel methods on covariance matrices, especially using the Log-Euclidean distance.We then show some of the latest developments in the generalization of the finite-dimensional covariance matrix representation to the {\it infinite-dimensional covariance operator} representation via positive definite kernels.