Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Wang, Shiye"'
Typical Convolutional Neural Networks (ConvNets) depend heavily on large amounts of image data and resort to an iterative optimization algorithm (e.g., SGD or Adam) to learn network parameters, which makes training very time- and resource-intensive.
Externí odkaz:
http://arxiv.org/abs/2310.11862
In this paper, we explore the problem of deep multi-view subspace clustering framework from an information-theoretic point of view. We extend the traditional information bottleneck principle to learn common information among different views in a self
Externí odkaz:
http://arxiv.org/abs/2204.12496
Publikováno v:
In Journal of Constructional Steel Research October 2024 221
Publikováno v:
In Information Sciences October 2024 680
Deep subspace clustering has attracted increasing attention in recent years. Almost all the existing works are required to load the whole training data into one batch for learning the self-expressive coefficients in the framework of deep learning. Al
Externí odkaz:
http://arxiv.org/abs/2110.15037
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
In Structures November 2023 57
Publikováno v:
In Journal of Building Engineering 1 October 2023 76
Publikováno v:
In Thin-Walled Structures October 2023 191
Publikováno v:
In Thin-Walled Structures June 2023 187