Measure of Similarity between GMMs Based on Autoencoder-Generated Gaussian Component Representations

A novel similarity measure between Gaussian mixture models (GMMs), based on similarities between the low-dimensional representations of individual GMM components and obtained using deep autoencoder architectures, is proposed in this paper. Two different approaches built upon these architectures are...

पूर्ण विवरण

ग्रंथसूची विवरण

मुख्य लेखकों:	Vladimir Kalušev, Branislav Popović, Marko Janev, Branko Brkljač, Nebojša Ralević
स्वरूप:	Artigo
भाषा:	Inglês
प्रकाशित:	MDPI AG 2023-05-01
श्रृंखला:	Axioms
विषय:	Gaussian mixture models autoencoders KL divergence classification machine learning
ऑनलाइन पहुंच:	https://www.mdpi.com/2075-1680/12/6/535
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