In spite of the initialization problem, the ExpectationMaximization (EM) algorithm is widely used for estimating the parameters in several data mining related tasks. Most popular ...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
This paper extends our prior work on multi-modal image registration based on the a priori knowledge of the joint intensity distribution that we expect to obtain, and Kullback-Leibl...
Rui Gan, Jue Wu, Albert C. S. Chung, Simon C. H. Y...
— In this paper1 an optimum and sub-optimum maximum likelihood (ML) rule for joint frame and carrier frequency offset estimation are derived, which rely on the transmission of a...
Abstract—Most research on differential MIMO is based on spacetime block codes, aiming to achieve maximum transmit diversity and thus make the transmission more robust by the aid ...
Lingyang Song, Alister G. Burr, Rodrigo C. de Lama...
Multi-stream hidden Markov models (HMMs) have recently been very successful in audio-visual speech recognition, where the audio and visual streams are fused at the final decision...