A convex optimization method for joint mean and variance parameter estimation of large-margin CDHMM

Abstract

In this paper, we develop a new class of parameter estimation techniques for the Gaussian continuous-density hidden Markov model (CDHMM), where the discriminative margin among a set of HMMs is used as the objective function for optimization. In addition to optimizing the mean parameters of the large-margin CDHMM, which was attempted in the past, our new… (More)
DOI: 10.1109/ICASSP.2008.4518544

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