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pro vyhledávání: '"Calabrese, Enrico"'
The stereo-matching problem, i.e., matching corresponding features in two different views to reconstruct depth, is efficiently solved in biology. Yet, it remains the computational bottleneck for classical machine vision approaches. By exploiting the
Externí odkaz:
http://arxiv.org/abs/2104.02541
Autor:
Aimar, Alessandro, Mostafa, Hesham, Calabrese, Enrico, Rios-Navarro, Antonio, Tapiador-Morales, Ricardo, Lungu, Iulia-Alexandra, Milde, Moritz B., Corradi, Federico, Linares-Barranco, Alejandro, Liu, Shih-Chii, Delbruck, Tobi
Convolutional neural networks (CNNs) have become the dominant neural network architecture for solving many state-of-the-art (SOA) visual processing tasks. Even though Graphical Processing Units (GPUs) are most often used in training and deploying CNN
Externí odkaz:
http://arxiv.org/abs/1706.01406
Autor:
Raspagliesi, Francesco, Ditto, Antonino, Solima, Eugenio, Quattrone, Pasquale, Fontanelli, Rosanna, Zanaboni, Flavia, Hanozet, Francesco, Spatti, Gianbattista, Calabrese, Enrico, Carcangiu, Maria L.
Publikováno v:
In Critical Reviews in Oncology and Hematology 2003 48(3):251-261
Akademický článek
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Autor:
Brianda, Maria Elena, Calabrese, Enrico Giuliana, Ceccutti, Greta, Colombo, Giorgio, Guardone, Francesca, Kadum, Katarina, Majer, Elisa, Mutton, Zeno, Rodelli, Maddalena
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3657::59b32d61b4bf63874a243713da73659d
http://hdl.handle.net/11577/3219023
http://hdl.handle.net/11577/3219023