Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Nikolai Skorobogatko"'
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2018 ISBN: 9783030014179
ICANN (1)
ICANN (1)
In this paper we propose a conceptual framework for higher-order artificial neural networks. The idea of higher-order networks arises naturally when a model is required to learn some group of transformations, every element of which is well-approximat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80584207ff7894f077e545347476a2c0
https://doi.org/10.1007/978-3-030-01418-6_47
https://doi.org/10.1007/978-3-030-01418-6_47
Autor:
Nikolai Skorobogatko, Alexey Potapov, Oleg Scherbakov, Innokentii Zhdanov, Sergey Rodionov, Maxim Peterson
Publikováno v:
Artificial General Intelligence ISBN: 9783319976754
AGI
AGI
What frameworks and architectures are necessary to create a vision system for AGI? In this paper, we propose a formal model that states the task of perception within AGI. We show the role of discriminative and generative models in achieving efficient
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22ac3ac8aaac65faa81a9ab9c1acab4a
https://doi.org/10.1007/978-3-319-97676-1_18
https://doi.org/10.1007/978-3-319-97676-1_18
Autor:
Hugo Latapie, Enzo Fenoglio, Nikolai Skorobogatko, Alexey Potapov, Innokentii Zhdanov, Oleg Scherbakov
Publikováno v:
Artificial General Intelligence ISBN: 9783319976754
AGI
AGI
Image and video retrieval by their semantic content has been an important and challenging task for years, because it ultimately requires bridging the symbolic/subsymbolic gap. Recent successes in deep learning enabled detection of objects belonging t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbed3da4046017845f849726e0061fd4
https://doi.org/10.1007/978-3-319-97676-1_19
https://doi.org/10.1007/978-3-319-97676-1_19