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<title>pkgsrc/inputmethod/zinnia/PLIST, branch pkgsrc_2011Q1</title>
<subtitle>[no description]</subtitle>
<id>https://git.osdyson.ru/mirror/pkgsrc/atom?h=pkgsrc_2011Q1</id>
<link rel='self' href='https://git.osdyson.ru/mirror/pkgsrc/atom?h=pkgsrc_2011Q1'/>
<link rel='alternate' type='text/html' href='https://git.osdyson.ru/mirror/pkgsrc/'/>
<updated>2010-05-20T09:05:30Z</updated>
<entry>
<title>Import zinnia-0.05 as inputmethod/zinnia.</title>
<updated>2010-05-20T09:05:30Z</updated>
<author>
<name>obache</name>
<email>obache</email>
</author>
<published>2010-05-20T09:05:30Z</published>
<link rel='alternate' type='text/html' href='https://git.osdyson.ru/mirror/pkgsrc/commit/?id=85c19204030d28bbf31d9e63be931294cb64247b'/>
<id>urn:sha1:85c19204030d28bbf31d9e63be931294cb64247b</id>
<content type='text'>
Zinnia is a simple, customizable and portable online hand recognition system
based on Support Vector Machines.  Zinnia simply receives user pen strokes as a
sequence of coordinate data and outputs n-best characters sorted by SVM
confidence.  To keep portability, Zinnia doesn't have any rendering
functionality.  In addition to recognition, Zinnia provides training module that
allows us to create any hand-written recognition systems with low-cost.
</content>
</entry>
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