no code implementations • 18 Aug 2015 • Y. Cem Subakan, Johannes Traa, Paris Smaragdis, Noah Stein
We argue that due to the specific structure of the activation matrix $R$ in the shared component factorial mixture model, and an incoherence assumption on the shared component, it is possible to extract the columns of the $O$ matrix without the need for alternating between the estimation of $O$ and $R$.
no code implementations • NeurIPS 2014 • Cem Subakan, Johannes Traa, Paris Smaragdis
In this paper, we propose a learning approach for the Mixture of Hidden Markov Models (MHMM) based on the Method of Moments (MoM).