Great test case. As far as I understood, you build separate models for each frequency bin and aggregate a total anomaly score by an arbitrary number of how many single anomaly score must be above a certain treshold. What do you think about dumping all the bins into one TP at once? In that way, the model could also capture covariance between the frequency bins and derive on a conclusion of an aggregate anomaly score on its own.
On 12.07.2014, at 03:09, Matthew Taylor <[email protected]> wrote: > This is a work in progress, but progress is being made, so I thought I > would share. > > Example: https://www.youtube.com/watch?v=rNbntHRdEmM > > Code: https://github.com/rhyolight/nupic.critic > > Warning: Given the nature of the audio samples I'm using, you'll > probably want to turn your volume up to 11. > > \m/ (>.<) \m/ > > --------- > Matt Taylor > OS Community Flag-Bearer > Numenta > > _______________________________________________ > nupic mailing list > [email protected] > http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org _______________________________________________ nupic mailing list [email protected] http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org
