Gaussian Mixture Models 1.1 Random Variables

@inproceedings{GaussianMM,
  title={Gaussian Mixture Models 1.1 Random Variables},
  author={}
}
    In this chapter we rst introduce the basic concepts of random variables and the associated distributions. These concepts are then applied to Gaussian random variables and mixture-of-Gaussian random variables. Both scalar and vector-valued cases are discussed and the probability density functions for these random variables are given with their parameters specied. This introduction leads to the Gaussian mixture model (GMM) when the distribution of mixture-of-Gaussian random variables is used to t… CONTINUE READING
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