Data log likelihood - PowerPoint PPT Presentation

Christopher M. Bishop

Latent Variables, Mixture Models and EM. Christopher M. Bishop. Microsoft Research, Cambridge. BCS Summer School Exeter, 2003. Overview. K-means clustering Gaussian mixtures Maximum likelihood and EM Latent variables: EM revisited Bayesian Mixtures of Gaussians . Old Faithful.

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867 views • 55 slides

EM algorithm continued &amp; Fisher kernels for image representation

EM algorithm continued &amp; Fisher kernels for image representation. Jakob Verbeek December 11, 2009. Plan for this course. Introduction to machine learning Clustering techniques k-means, Gaussian mixture density Gaussian mixture density continued

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204 views • 18 slides

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Data log likelihood - PowerPoint PPT Presentation

Christopher M. Bishop

EM algorithm continued &amp;amp; Fisher kernels for image representation

EM algorithm continued & Fisher kernels for image representation