Weighted finite automatas using spectral methods for computer vision
There are many possible ways to model the machine or model that generates a set of sequences, Weighted Finite Automatas (WFAs) have been demonstrated to be a powerful tool in this regard by the Natural Language Processing Community. Spectral techniques of recovering WFAs from empirically constructed...
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| Online Access: | http://hdl.handle.net/2047/D20211601 |