235 search results - page 4 / 47 » EM algorithms of Gaussian mixture model and hidden Markov mo... |
ADMI
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. We present a method for learning characteristic motion patterns of mobile agents. The method works on two levels. On the first level, it uses the expectation-maximization...
BMEI
2009
IEEE
13 years 7 months ago
2009
IEEE
The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
ICASSP
2009
IEEE
14 years 27 days ago
2009
IEEE
This paper proposes an interpolating extension to hidden Markov models (HMMs), which allows more accurate modeling of natural sounds sources. The model is able to produce observat...
ICPR
2006
IEEE
14 years 7 months ago
2006
IEEE
ICMCS
2007
IEEE
14 years 14 days ago
2007
IEEE
We present a two-layer generative model for sport video mining that is composed of a two-layer observation model. The first layer is the Gaussian mixture model (GMM) using framew...