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Bachelor's thesis on handwritten kanji recognition.
Finalize draft for TACS 2014 paper, to be submitted Aug 31.
Getting these two done and somewhat validated would allow us to start training a few CANNs.
Before we can start working on this we must know how our clusters turn out, though.
Assuming that our clusters turn out grouping similar-looking kanji together, I'll need to investigate what network design would lend itself to distinguishing between such differences. Perhaps this could actually turn out to be advantageous...
Thus far this seems to be the only KanjiVG where the ID differs from the filename. Perhaps something that should be reported.
This depends on #2
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