Zobrazeno 1 - 10
of 882
pro vyhledávání: '"A. Stanitsas"'
Autor:
IRINA Fedina
Publikováno v:
Клио. :97-103
Autor:
Cherian, Anoop, Stanitsas, Panagiotis, Wang, Jue, Harandi, Mehrtash, Morellas, Vassilios, Papanikolopoulos, Nikolaos
Representations in the form of Symmetric Positive Definite (SPD) matrices have been popularized in a variety of visual learning applications due to their demonstrated ability to capture rich second-order statistics of visual data. There exist several
Externí odkaz:
http://arxiv.org/abs/2104.06461
Autor:
Irina M. Fedina
Publikováno v:
Журнал Фронтирных Исследований, Vol 8, Iss 2, Pp 154-168 (2023)
Based on documentary materials, this paper reviews the development of Northwestern Caucasus by the Cossacks in the 1860s. For the development of new territories, a defensive-offensive strategy was used. With the help of fortified settlement structure
Externí odkaz:
https://doaj.org/article/511a69c5270b483eaee6e32746013adc
Akademický článek
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Publikováno v:
Built Environment Project and Asset Management, 2021, Vol. 12, Issue 2, pp. 129-146.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/BEPAM-10-2020-0166
Autor:
Cherian, Anoop, Stanitsas, Panagiotis, Harandi, Mehrtash, Morellas, Vassilios, Papanikolopoulos, Nikolaos
Symmetric positive definite (SPD) matrices are useful for capturing second-order statistics of visual data. To compare two SPD matrices, several measures are available, such as the affine-invariant Riemannian metric, Jeffreys divergence, Jensen-Bregm
Externí odkaz:
http://arxiv.org/abs/1708.01741
Autor:
Labarbe, Jules
Publikováno v:
L'Antiquité Classique, 1979 Jan 01. 48(2), 711-713.
Externí odkaz:
https://www.jstor.org/stable/41651497
Autor:
Motte, L.
Publikováno v:
Revue des Études Grecques, 1988 Jan 01. 101(480/481), 219-220.
Externí odkaz:
https://www.jstor.org/stable/44264031
Autor:
Panagiotis Stanitsas, Anoop Cherian, Vassilios Morellas, Resha Tejpaul, Nikolaos Papanikolopoulos, Alexander Truskinovsky
Publikováno v:
Frontiers in Digital Health, Vol 2 (2020)
Introduction: Cancerous Tissue Recognition (CTR) methodologies are continuously integrating advancements at the forefront of machine learning and computer vision, providing a variety of inference schemes for histopathological data. Histopathological
Externí odkaz:
https://doaj.org/article/27c6b2159bf142ba90f15455d8a99c64
Autor:
I. M. Fedina
Publikováno v:
Известия высших учебных заведений. Поволжский регион: Гуманитарные науки, Iss 2 (2020)
Background. The study of the history of the Black Sea (Kuban) Cossacks provides a generalization of historical experience, both from the point of view of preservation of the traditional agricultural way of life, and from the point of view of bring
Externí odkaz:
https://doaj.org/article/8c3d9d326d604c31a4ae8cfe5164a55d