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pro vyhledávání: '"Maguolo A"'
Autor:
Dragičević, Zana
Publikováno v:
Zbornik Lovranšćine / Lovran Proceedings. 2(1):173-194
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=834182
Autor:
Zana Dragičević
Publikováno v:
Zbornik Lovranšćine, Vol 2, Iss 1, Pp 173-194 (2012)
On the architectural decorations of Lovran villas at the turn of the 19th in the 20th century, whose architects are Carl Seidl and Attilio Maguolo, we will single out the elements of Venetian floral Gothic which stand out in some cases. The stylistic
Externí odkaz:
https://doaj.org/article/18b44395909d45c29b1b6daa7104b657
Publikováno v:
Il Foro Italiano, 1993 Sep 01. 116(9), 2441/2442-2445/2446.
Externí odkaz:
https://www.jstor.org/stable/23187706
Autor:
Dragičević, Zana
Publikováno v:
Zbornik Lovranšćine, Vol 2, Iss 1, Pp 173-194 (2012)
Zbornik Lovranšćine
Volume 2
Issue 1
Zbornik Lovranšćine
Volume 2
Issue 1
Na ostvarenjima vila s kraja 19. i početka 20. stoljeća u Lovranu čiji su autori Carl Seidl i Attilio Maguolo u okviru arhitektonske plastike izdvajamo elemente venecijanske cvjetne gotike, koji se u pojedinim primjerima posebno ističu. Generalno
Pest infestation is a major cause of crop damage and lost revenues worldwide. Automatic identification of invasive insects would greatly speedup the identification of pests and expedite their removal. In this paper, we generate ensembles of CNNs base
Externí odkaz:
http://arxiv.org/abs/2108.12539
Semantic segmentation has a wide array of applications ranging from medical-image analysis, scene understanding, autonomous driving and robotic navigation. This work deals with medical image segmentation and in particular with accurate polyp detectio
Externí odkaz:
http://arxiv.org/abs/2104.00850
Recently, much attention has been devoted to finding highly efficient and powerful activation functions for CNN layers. Because activation functions inject different nonlinearities between layers that affect performance, varying them is one method fo
Externí odkaz:
http://arxiv.org/abs/2103.15898
Stochastic gradient descent (SGD) is the main approach for training deep networks: it moves towards the optimum of the cost function by iteratively updating the parameters of a model in the direction of the gradient of the loss evaluated on a minibat
Externí odkaz:
http://arxiv.org/abs/2103.14689
Classification of biological images is an important task with crucial application in many fields, such as cell phenotypes recognition, detection of cell organelles and histopathological classification, and it might help in early medical diagnosis, al
Externí odkaz:
http://arxiv.org/abs/2011.11834
Publikováno v:
Journal of Imaging 2020, 6(12), 143
In this work, we present an ensemble of descriptors for the classification of transmission electron microscopy images of viruses. We propose to combine handcrafted and deep learning approaches for virus image classification. The set of handcrafted is
Externí odkaz:
http://arxiv.org/abs/2011.06123