A holistic similarity measure for GMMs by embedding it into the manifold of SPD matrices
In this paper, a new similarity measure for comparing two Gaussian Mixture Models (GMMs) is obtained. This is based on an embedding of the manifold of K-component GMMs into the manifold of the symmetric positive definite matrices (SPD). The GMM manifold with the pullback of the induced metric is sho...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Taylor & Francis Group
2026-12-01
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| coleção: | Applied Mathematics in Science and Engineering |
| Assuntos: | |
| Acesso em linha: | https://www.tandfonline.com/doi/10.1080/27690911.2026.2629491 |
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