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...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
MDPI AG
2023-05-01
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| Series: | Axioms |
| Assuntos: | |
| Acceso en liña: | https://www.mdpi.com/2075-1680/12/6/535 |
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