Discrete Hidden Markov Models based on OpenCV

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User Reviews

  • spuls
    1 of 5 2 of 5 3 of 5 4 of 5 5 of 5

    Hi, questions: According to your sample_output: INIT: 1 0 0. But many (most) generated states do not start with first state. State 0 should be starting state, thus be always the first of the generated states. Moreover: the type of model is defined through the TRANS data (e.g., left-right ...). If an entry is 0 it should not change during training, otherwise a left-right might become a right-left (that is not clearly not desireable). Also, the log probabilities are very low, thus all sequences have a chance close to 0 to be generated by the model. Comments?

    Posted 11/14/2014
  • jamesperalta
    1 of 5 2 of 5 3 of 5 4 of 5 5 of 5

    Nice, thank you

    Posted 06/05/2013
  • ianrichardson
    1 of 5 2 of 5 3 of 5 4 of 5 5 of 5

    Easy to use and works.

    Posted 02/16/2013
  • nicolascook
    1 of 5 2 of 5 3 of 5 4 of 5 5 of 5

    small and efficient and gets the job done.

    Posted 01/22/2013
  • austinspafford
    1 of 5 2 of 5 3 of 5 4 of 5 5 of 5

    deseo bajar cvhmm gratis

    Posted 11/11/2012
  • joshrogers
    1 of 5 2 of 5 3 of 5 4 of 5 5 of 5

    deseo bajar cvhmm gratis

    Posted 09/19/2012