177 citations · 452 across the 25 of their papers we have counts for
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cs.LG2020★ 54 cited
EGMM: an Evidential Version of the Gaussian Mixture Model for Clustering
Lianmeng Jiao, Thierry Denoeux, Zhun-ga Liu +1
The Gaussian mixture model (GMM) provides a simple yet principled framework for clustering, with properties suitable for statistical inference. In this paper, we propose a new mode…
cs.LG2017★ 13 cited
Disentangled Variational Auto-Encoder for Semi-supervised Learning
Yang Li, Quan Pan, Suhang Wang +3
Semi-supervised learning is attracting increasing attention due to the fact that datasets of many domains lack enough labeled data. Variational Auto-Encoder (VAE), in particular, h…