Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Konstantin Sozykin"'
Autor:
Petr Tichavsky, Konstantin Sozykin, Andrzej Cichocki, Anh Huy Phan, Konstantin Sobolev, Dmitry Ermilov
Publikováno v:
ICASSP
This paper proposes a constrained canonical polyadic (CP) tensor decomposition method with low-rank factor matrices. In this way, we allow the CP decomposition with high rank while keeping the number of the model parameters small. First, we propose a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27fa53fcd6d5083a742e5970c104540e
https://doi.org/10.1109/icassp39728.2021.9414606
https://doi.org/10.1109/icassp39728.2021.9414606
Publikováno v:
Signal, Image and Video Processing. 12:991-999
The semantic video indexing problem is still underexplored. Solutions to the problem will significantly enrich the experience of video search, monitoring, and surveillance. This paper concerns scene detection and annotation, and specifically, the tas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::847b101a0f8a3da4b8d0f2ee749c57ec
https://doi.org/10.1007/s11760-018-1244-6
https://doi.org/10.1007/s11760-018-1244-6
Autor:
Anh Huy Phan, Konstantin Sozykin, Julia Gusak, Dmitry Ermilov, Andrzej Cichocki, Petr Tichavský, Valeriy Glukhov, Konstantin Sobolev, Ivan V. Oseledets
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585259
ECCV (29)
ECCV (29)
Most state-of-the-art deep neural networks are overparameterized and exhibit a high computational cost. A straightforward approach to this problem is to replace convolutional kernels with its low-rank tensor approximations, whereas the Canonical Poly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b147a4f6bfa71e897e90862d8d370e62
https://doi.org/10.1007/978-3-030-58526-6_31
https://doi.org/10.1007/978-3-030-58526-6_31
Publikováno v:
ITSC
Model Predictive Path Integral (MPPI) algorithm is an efficient approach to control an autonomous car. However, it requires a cost map. Preparing a cost map in advance is a task that can be completed only for a static closed unchanging environment, b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::174bb8c9109ed99318a2448fdceb839e
https://doi.org/10.1109/itsc.2019.8917227
https://doi.org/10.1109/itsc.2019.8917227
Autor:
Yan, Wenhui1 (AUTHOR), Tang, Wending1 (AUTHOR), Wang, Lihua1 (AUTHOR), Bin, Yannan1 (AUTHOR) ynbin@ahu.edu.cn, Xia, Junfeng1 (AUTHOR) ynbin@ahu.edu.cn
Publikováno v:
PLoS Computational Biology. 9/12/2022, Vol. 18 Issue 9, p1-16. 16p. 1 Diagram, 3 Charts, 3 Graphs.
Publikováno v:
Signal, Image & Video Processing; Jul2018, Vol. 12 Issue 5, p991-999, 9p
Publikováno v:
Proceedings of SPIE; 3/5/2022, Vol. 12097, p1209703-1209703, 1p
The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in
The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference