March 2010
Intermediate to advanced
150 pages
7h 13m
English
book
Introduction to Pattern Recognition: A Matlab Approach
by Sergios Theodoridis, Aggelos Pikrakis, Konstantinos Koutroumbas, Dionisis Cavouras
Content preview from Introduction to Pattern Recognition: A Matlab Approach
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Appendix
This appendix lists the functions (m-files) developed by the authors and used in the examples in this
book. Functions used that are part of MATLAB’s commercial distribution have been omitted; the reader
is referred to the respective MATLAB manuals.
In the following list, functions are ordered alphabetically by chapter. For further function details,
including descriptions of input and output arguments, refer to MATLAB’s hel p utility. Also see the
complete source code of the listed m-files, provided as part of the software on the companion website.
Chapter 1
bayes_classifier Bayesian classification rule for c classes, modeled by Gaussian distributions (also
used in Chapter 2).
comp_gauss_dens_val Computes the value of a Gaussian distribution at ...
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I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.