Siddiqi et al 2009 Reduced-Rank Hidden Markov Models

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Citation

Online version

[1]

Summary

This paper introduces Reduced-Rank Hidden Markov Models (RR-HMMs). RR-HMMs are similar to standard HMMs, except the rank of the transition matrix is less than the number of hidden states. Thus the dynamics evolve in a subspace of the hidden state probability space.

Method

Siddiqi et al 2009 Definition of P.png

Siddiqi et al 2009 Algorithm.png


Experimental Result

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