Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Gritsenko, Andrey"'
Autor:
Wang, Zifeng, Salehi, Batool, Gritsenko, Andrey, Chowdhury, Kaushik, Ioannidis, Stratis, Dy, Jennifer
We study an Open-World Class Discovery problem in which, given labeled training samples from old classes, we need to discover new classes from unlabeled test samples. There are two critical challenges to addressing this paradigm: (a) transferring kno
Externí odkaz:
http://arxiv.org/abs/2012.06957
Autor:
Akusok, Anton, Eirola, Emil, Miche, Yoan, Oliver, Ian, Björk, Kaj-Mikael, Gritsenko, Andrey, Baek, Stephen, Lendasse, Amaury
Publikováno v:
Proceedings of ELM-2016 (pp. 183-193). Springer, Cham
An incremental version of the ELMVIS+ method is proposed in this paper. It iteratively selects a few best fitting data samples from a large pool, and adds them to the model. The method keeps high speed of ELMVIS+ while allowing for much larger possib
Externí odkaz:
http://arxiv.org/abs/1912.08638
Autor:
Chung, Moo K., Lee, Hyekyoung, Gritsenko, Andrey, DiChristofano, Alex, Pluta, Dustin, Ombao, Hernando, Solo, Victor
Existing brain network distances are often based on matrix norms. The element-wise differences in the existing matrix norms may fail to capture underlying topological differences. Further, matrix norms are sensitive to outliers. A major disadvantage
Externí odkaz:
http://arxiv.org/abs/1809.03878
A key strength of twin studies arises from the fact that there are two types of twins, monozygotic and dizygotic, that share differing amounts of genetic information. Accurate differentiation of twin types allows efficient inference on genetic influe
Externí odkaz:
http://arxiv.org/abs/1807.00244
A robust and informative local shape descriptor plays an important role in mesh registration. In this regard, spectral descriptors that are based on the spectrum of the Laplace-Beltrami operator have been a popular subject of research for the last de
Externí odkaz:
http://arxiv.org/abs/1710.06368
Autor:
Gritsenko, Andrey
Publikováno v:
Theses and Dissertations.
Extreme Learning Machine (ELM) is a training algorithm for Single-Layer Feed-forward Neural Network (SLFN). The difference in theory of ELM from other training algorithms is in the existence of explicitly-given solution due to the immutability of ini
Externí odkaz:
https://ir.uiowa.edu/etd/5764
https://ir.uiowa.edu/cgi/viewcontent.cgi?article=7251&context=etd
https://ir.uiowa.edu/cgi/viewcontent.cgi?article=7251&context=etd
Autor:
Gritsenko, Andrey
Publikováno v:
International Journal of Advanced Studies in Computer Science and Engineering, Volume 2, Special Issue 2, pp. 1-7. September 2013
The aim of this paper is to provide a description of deep-learning-based scheduling approach for academic-purpose high-performance computing systems. The share of academic-purpose distributed computing systems (DCS) reaches 17.4 percents amongst TOP5
Externí odkaz:
http://arxiv.org/abs/1310.1553
Akademický článek
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Akademický článek
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Publikováno v:
Eastern-European Journal of Enterprise Technologies; Том 3, № 5 (99) (2019): Applied physics; 29-35
Восточно-Европейский журнал передовых технологий; Том 3, № 5 (99) (2019): Прикладная физика; 29-35
Східно-Європейський журнал передових технологій; Том 3, № 5 (99) (2019): Прикладна фізика; 29-35
Восточно-Европейский журнал передовых технологий; Том 3, № 5 (99) (2019): Прикладная физика; 29-35
Східно-Європейський журнал передових технологій; Том 3, № 5 (99) (2019): Прикладна фізика; 29-35
The paper reports results of mathematical modeling of the intensity of absorbed gamma radiation for determining the iron content in IOR. It was shown that to enhance the accuracy of rapid control of the iron content in IOR, it is advisable to use abs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=scientific_p::9ccc887d22d1a48d27ee9e37bbf82788
http://journals.uran.ua/eejet/article/view/170341
http://journals.uran.ua/eejet/article/view/170341