On the framework of particle filter,a mixture Gaussian model is introduced to be an effective target description,which is composed of three components and online updated to solve the template update problem by using an incremental EM algorithm.

We derived the EM-like algorithm to estimate the model parameters through optimizing the system cost function.

In the paper, Gaussian mixture model is used to describe the residuals of matches in the new robust algorithm for fundamental matrix estimation, and an improved split-merge EM (SMEM) algorithm is used to classify the matches, so that the false matches can be detected and rejected by the least mean absolute residual criteria.

An EM algorithm is derived to compute maximum likelihood estimate.

The three-dimensional reconstruction algorithm based on Susan operator and optical flow method and expectation maximization algorithm was introduced to slove the problem about the low degree of automation and inefficient in process of selecting feature points in target object in three-dimensional retrieval based three-dimensional reconstruction.

Study of an adaptive technology for estimating the parameters of single ion channel signal based on EM algorithm;

A multipath time delay estimation algorithm based on EM algorithm under α-stable distribution impulse noise environment;

Parameter estimation of incomplete data using α-EM algorithm;