Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Caglar Hizli"'
Publikováno v:
SIU
In this paper, we propose a novel multi-task variational auto encoder (VAE) based approach for joint source separation and classification. The network uses a probabilistic encoder for each sources to map the input data to latent space. The latent re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d969e2aea7e49301ac88e97c2c647c50
https://doi.org/10.1109/siu49456.2020.9302092
https://doi.org/10.1109/siu49456.2020.9302092
Autor:
Çağlar Hızlı, Serap Kırbız
Publikováno v:
Applied Artificial Intelligence, Vol 36, Iss 1 (2022)
Although detecting communities in networks has attracted considerable recent attention, estimating the number of communities is still an open problem. In this paper, we propose a model, which replicates the generative process of the mixed-membership
Externí odkaz:
https://doaj.org/article/140218f69a544f09b5276a814f8610e9