Now showing items 1-2 of 2

    • Expectation maximization based matching pursuit 

      Gurbuz, A.C.; Pilanci, M.; Arıkan, Orhan (IEEE, 2012)
      A novel expectation maximization based matching pursuit (EMMP) algorithm is presented. The method uses the measurements as the incomplete data and obtain the complete data which corresponds to the sparse solution using an ...
    • A novel and robust parameter training approach for HMMs under noisy and partial access to states 

      Ozkan, H.; Akman, A.; Kozat, S. S. (Elsevier BV, 2014-01)
      This paper proposes a new estimation algorithm for the parameters of an HMM as to best account for the observed data. In this model, in addition to the observation sequence, we have partial and noisy access to the hidden ...