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Entropy-Based Variational Scheme with Component Splitting for the Efficient Learning of Gamma Mixtures

Author(s): Bourouis S; Pawar Y; Bouguila N;

Finite Gamma mixture models have proved to be flexible and can take prior information into account to improve generalization capability, which make them interesting for several machine learning and data mining applications. In this study, an efficient Gamma mixture model-based approach for proportional vector clustering is proposed. In particular, a sophi ...

Article GUID: 35009726


Bayesian Learning of Shifted-Scaled Dirichlet Mixture Models and Its Application to Early COVID-19 Detection in Chest X-ray Images

Author(s): Bourouis S; Alharbi A; Bouguila N;

Early diagnosis and assessment of fatal diseases and acute infections on chest X-ray (CXR) imaging may have important therapeutic implications and reduce mortality. In fact, many respiratory diseases have a serious impact on the health and lives of people. However, certain types of infections may include high variations in terms of contrast, size and shap ...

Article GUID: 34460578


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