>With regard to PDL, for most tasks you want be be able to easily apply a
>known algorithm to your data and not have to worry about writing it from
>scratch. PDL may or may not be a better platform than Python's numpy but
>there are sophisticated libraries such as sci-py and PyBrain built on top
>of numpy and no real equivalent for Perl and PDL.

Searching for a few of the broad categories here
http://docs.scipy.org/doc/scipy-0.12.0/reference/ I am able to quickly
turns up PDL equivalents of many of categories of things SciPy does. YMMV.
(CRF is not amongst this list--natively--nor something that one would
expect an image processing library to have developed initially...
and of course somebody has to write the first implementation ;-)

FWIW There's Algorithm::CRF and CRF++'s own Perl shim
<http://code.google.com/p/crfpp/source/browse/trunk/perl/>

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