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Bayesian Learning of Generalized Gaussian Mixture …

    https://link.springer.com/content/pdf/10.1007/978-3-642-12159-3_19.pdf
    a highly efficient unsupervised Bayesian algorithm for biomedical im-age segmentation and spot detection of cDNA microarray images, based on generalized Gaussian …

Bayesian Learning of Generalized Gaussian Mixture …

    https://link.springer.com/chapter/10.1007/978-3-642-12159-3_19
    Bayesian Learning of Generalized Gaussian Mixture Models on Biomedical Images | SpringerLink Artificial Neural Networks in Pattern Recognition pp 207–218 Cite as …

Bayesian learning of generalized gaussian mixture …

    https://dl.acm.org/doi/10.1007/978-3-642-12159-3_19
    Bayesian learning of generalized gaussian mixture models on biomedical images; Article . Free Access. Share on. Bayesian learning of generalized gaussian mixture …

Bayesian learning of generalized gaussian mixture …

    https://dl.acm.org/doi/abs/10.1007/978-3-642-12159-3_19
    Home Browse by Title Proceedings ANNPR'10 Bayesian learning of generalized gaussian mixture models on biomedical images. Article . Free Access. …

Bayesian Learning of Generalized Gaussian Mixture …

    https://www.researchgate.net/publication/221588822_Bayesian_Learning_of_Generalized_Gaussian_Mixture_Models_on_Biomedical_Images
    In this paper we propose a highly efficient unsupervised Bayesian algorithm for biomedical image segmentation and spot detection of cDNA microarray images, …

Bayesian Learning of Generalized Gaussian Mixture …

    https://www.semanticscholar.org/paper/Bayesian-Learning-of-Generalized-Gaussian-Mixture-Elguebaly-Bouguila/59aa04c491a5c20483fd5dee29ac1affe3c8243a
    Generalized Gaussian mixture models are robust in the presence of noise and outliers and are more flexible to adapt the shape of data. A highly efficient unsupervised …

Bayesian inference framework for bounded generalized …

    https://onlinelibrary.wiley.com/doi/10.1002/ima.22391
    Bayesian inference framework for bounded generalized Gaussian-based mixture model and its application to biomedical images classification. Department of Computer …

Bayesian estimation of generalized Gamma mixture …

    https://www.sciencedirect.com/science/article/pii/S0031320318303789
    The Gaussian mixture model (GMM), which uses the Gaussian distribution as the component density, has become popular in many applications ranging from …

Bayesian learning of finite generalized Gaussian mixture …

    https://www.sciencedirect.com/science/article/pii/S0165168410003518
    Our work is motivated by the fact that the generalized Gaussian distribution (GGD) can be applied on a wide range of data due to its shape flexibility which justifies its …

Bayesian Learning of Generalized Gaussian Mixture Models on …

    https://docslib.org/doc/5347090/bayesian-learning-of-generalized-gaussian-mixture-models-on-biomedical-images
    Generalized Gaussian mixture models are robust in the presence of noise and outliers and are more flexible to adapt the shape of data. 1 Introduction In recent years a lot of …



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