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My bibliography Save this articleMeasure of Similarity between GMMs Based on Geometry-Aware Dimensionality Reduction
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- Branislav Popović & Lenka Cepova & Robert Cep & Marko Janev & Lidija Krstanović, 2021. "Measure of Similarity between GMMs by Embedding of the Parameter Space That Preserves KL Divergence," Mathematics, MDPI, vol. 9(9), pages 1-21, April.
- Aidin Salamzadeh & Pejman Ebrahimi & Maryam Soleimani & Maria Fekete-Farkas, 2022. "Grocery Apps and Consumer Purchase Behavior: Application of Gaussian Mixture Model and Multi-Layer Perceptron Algorithm," JRFM, MDPI, vol. 15(10), pages 1-16, September.
- Lovric, Miroslav & Min-Oo, Maung & Ruh, Ernst A., 2000. "Multivariate Normal Distributions Parametrized as a Riemannian Symmetric Space," Journal of Multivariate Analysis, Elsevier, vol. 74(1), pages 36-48, July.
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- Zhen Peng & Hongyi Li & Di Zhao & Chengwei Pan, 2023. "Reducing the Dimensionality of SPD Matrices with Neural Networks in BCI," Mathematics, MDPI, vol. 11(7), pages 1-18, March.
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Keywords
Gaussian Mixture Models; similarity measures; dimensionality reduction; texture recognition;All these keywords.
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