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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
    fact that biomedical and cDNA microarray images both contain non-Gaussian characteristics, impossible to model using rigid distributions like the Gaussian. …

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://link.springer.com/chapter/10.1007/978-3-642-12159-3_19
    Our work is motivated by the fact that biomedical and cDNA microarray images both contain non-Gaussian characteristics, impossible to model using rigid distributions like …

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.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 Learning of Generalized Gaussian Mixture …

    https://www.researchgate.net/publication/221588822_Bayesian_Learning_of_Generalized_Gaussian_Mixture_Models_on_Biomedical_Images
    Our work is motivated by the fact that biomedical and cDNA microarray images both contain non-Gaussian characteristics, impossible to model using rigid …

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 inference framework for bounded generalized …

    https://www.semanticscholar.org/paper/Bayesian-inference-framework-for-bounded-mixture-to-Alroobaea-Rubaiee/b711e74bbaa8dfa53ed38d932ec59d9aae124296
    A highly efficient unsupervised Bayesian algorithm for biomedical image segmentation and spot detection of cDNA microarray images, based on generalized …

Bayesian inference framework for bounded …

    https://www.researchgate.net/profile/Roobaea-Alroobaea-2/publication/338179128_Bayesian_inference_framework_for_bounded_generalized_Gaussian-based_mixture_model_and_its_application_to_biomedical_images_classification/links/5e2f5c33299bf10a6598eb64/Bayesian-inference-framework-for-bounded-generalized-Gaussian-based-mixture-model-and-its-application-to-biomedical-images-classification.pdf
    generalized mixture model using Bayesian inference has never been tackled before. In the next section we will introduce the finite unbounded and bounded Generalized …

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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