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From: Eizo on 31 Dec 2009 14:18
While it is possible to find some features that describe letters in
the 2 dim space, I was looking to speed things up, by entering the
letter as is. in its raw binary info (like neural net).

So is it possible to train the SVM with a character
(e.g one vector that contain binary letter information, with 1's and
0's) like in the neural net training ?
Because all the demos, and all the articles I read deal with 2 dim
info.




Thanks.
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