Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Innokentii Zhdanov"'
Autor:
A. V. Yashchenko, Sergey Rodionov, Maxim Peterson, O. V. Shcherbakov, Innokentii Zhdanov, Alexey Potapov
Publikováno v:
Journal of Optical Technology. 86:769
Generative neural network models for visual concept learning and the problem of approximating image distribution density are studied. A criterion for an image to belong to a simulated class is introduced based on an estimate of the probability in the
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
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:
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
Publikováno v:
Future Communication Technology and Engineering ISBN: 9781138027770
Future Communication Technology and Engineering
Future Communication Technology and Engineering
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8acfbbc37435f750216bc4339fe6add6
https://doi.org/10.1201/b18331-29
https://doi.org/10.1201/b18331-29
Publikováno v:
Future Communication Technology and Engineering ISBN: 9781138027770
Future Communication Technology and Engineering
Future Communication Technology and Engineering
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5635f436c346c89688f19135030f260e
https://doi.org/10.1201/b18331-28
https://doi.org/10.1201/b18331-28
Publikováno v:
SPIE Proceedings.
Possibility of practical application of algorithmic probability is analyzed on an example of image inpainting problem that precisely corresponds to the prediction problem. Such consideration is fruitful both for the theory of universal prediction and
Publikováno v:
Journal of Physics: Conference Series. 536:012013
We consider image features on the base of histograms of oriented gradients (HOG) with addition of contour curvature histogram (HOG-CH), and also compare it with results of known scale-invariant feature transform (SIFT) approach in application to retr
Publikováno v:
Journal of Optical Technology. 80:680
This paper discusses the criterion of algorithmic probability, which offers a general solution to the question of extrapolating symbolic strings. The given criterion extends the theoretical-informational approach based on algorithmic complexity, whic
Publikováno v:
Journal of Optical Technology. 80:201
This letter discusses the solution of the problem of automatic erythrometry, using a modified Hough transform based on a method developed earlier for distinguishing and counting erythrocytes. The proposed method makes it possible to construct a Price