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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 3.2 Final//EN"><!--Converted with LaTeX2HTML 2K.1beta (1.48)original version by: Nikos Drakos, CBLU, University of Leeds* revised and updated by: Marcus Hennecke, Ross Moore, Herb Swan* with significant contributions from: Jens Lippmann, Marek Rouchal, Martin Wilck and others --><HTML><HEAD><TITLE>The H2M/cnt extension: models for scalar count data</TITLE><META NAME="description" CONTENT="The H2M/cnt extension: models for scalar count data"><META NAME="keywords" CONTENT="H2M, H2M/cnt, Hidden Markov Model, HMM, Mixture model, Vector Quantization, Expectation Maximization, EM, Multivariate Gaussian, Count data, Poisson, Negative binomial, MATLAB, OCTAVE, GPL"><META NAME="resource-type" CONTENT="document"><META NAME="distribution" CONTENT="global"><META HTTP-EQUIV="Content-Type" CONTENT="text/html; charset=iso-8859-1"><META NAME="Generator" CONTENT="LaTeX2HTML v2K.1beta"><META HTTP-EQUIV="Content-Style-Type" CONTENT="text/css"><LINK REL="STYLESHEET" HREF="h2m.css"><LINK REL="next" HREF="node18.html"><LINK REL="previous" HREF="node8.html"><LINK REL="up" HREF="h2m.html"><LINK REL="next" HREF="node15.html"></HEAD><BODY BGCOLOR="ivory"><!--Navigation Panel--><B> Next:</B> <A NAME="tex2html257" HREF="node15.html">Nomenclature</A><B>Up:</B> <A NAME="tex2html253" HREF="h2m.html">H2M : A set</A><B> Previous:</B> <A NAME="tex2html247" HREF="node13.html">Implementation issues</A><P><!--End of Navigation Panel--><H1><A NAME="SECTION00040000000000000000">The <TT>H2M/cnt</TT> extension: models for scalar count data</A></H1>The <TT>H2M/cnt</TT> extension contains a set of functions for estimation of mixture andhidden Markov models appropriate for count data (positive, discrete valued timeseries). Currently implemented are functions for the EM estimation of Poissonmixtures and HMMs as well as HMMs with Negative Binomial state conditionaldistributions.<P><BLOCKQUOTE><B>If you are only interested in speech processing, then you can safely skip this section (and delete the <code>cnt</code> subdirectory if you want).</B></BLOCKQUOTE><P><BR><HR><!--Table of Child-Links--><A NAME="CHILD_LINKS"><STRONG>Subsections</STRONG></A><UL><LI><A NAME="tex2html258" HREF="node15.html">Nomenclature</A><LI><A NAME="tex2html259" HREF="node16.html">Data structures</A><UL><LI><A NAME="tex2html260" HREF="node16.html#SECTION00042100000000000000">Poisson mixture model</A><LI><A NAME="tex2html261" HREF="node16.html#SECTION00042200000000000000">Poisson HMM</A><LI><A NAME="tex2html262" HREF="node16.html#SECTION00042300000000000000">Negative binomial HMM</A><LI><A NAME="tex2html263" HREF="node16.html#SECTION00042400000000000000">Note on the initial distribution of HMMs in <TT>H2M/cnt</TT></A></UL><BR><LI><A NAME="tex2html264" HREF="node17.html">Examples</A></UL><!--End of Table of Child-Links--><BR><HR><ADDRESS>Olivier Cappé, Aug 24 2001</ADDRESS></BODY></HTML>
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