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  • McGill University
  • Montreal

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  1. IAGM_feature_selection IAGM_feature_selection Public

    Infinite Asymmetric Gaussian Mixture with feature selection. Adopt MCMC to do Bayesian inference.

    Python 1

  2. IAGM_BS IAGM_BS Public

    Background subtraction algorithm by Infinite Aysmmetrical Gaussian Mixture Model (IAGMM)

    Python 3 1

  3. IAGM IAGM Public

    Infinite Asymmetric Gaussian Mixture Model

    Python 2 2

  4. IGMM IGMM Public

    infinite Gaussian Mixture Model(Dirichlet Process Gaussian Mixture Model) by gibbs sampling. Multivaraite Gaussian with full covariance and diagonal covariance.

    Python 14 3

  5. BackgroundSubtraction BackgroundSubtraction Public

    Background subtraction algorithm by Gaussian Mixture Model based on paper "Adaptive background mixture models for real-time tracking".

    Python 32 6

  6. MachineLearning MachineLearning Public

    Algorithms of machine learning or deep learning

    Python 1