Sentence examples for using the gaussian mixture from inspiring English sources

The decomposition of behaviour into two modes using the Gaussian mixture model allowed us to identify the relationship between slow movement, into which feeding bouts are most likely to be classified, and the 600 1000 m depth range associated with the shelf-break.

Then the foreground was detected using the Gaussian mixture model.

Ant state prediction aims to guide ant clustering around cells of interest, while pheromone field prediction helps to accelerate the pheromone formation of the current frame using the Gaussian mixture model (GMM) approximation technique.

Given the fact that the two conditional pdfs are estimated using the Gaussian Mixture based pdf estimate, by EM algorithm, acording to (6), and using the following change of variables, (resp., ), for (resp., ), we get, (D2).

Classifier performance was studied in detail using the Gaussian Mixture Mode and Maximum Likelihood decision making rule, and the results were verified on a multilayer perceptron and Support Vector Machine.

Theorem 3. Using the Gaussian mixture approximations for the forward and the backward filter introduced in Sections 3.1 and 3.3, respectively, a closed form expression of is obtained as follows: (32).

Alternatively, the Fisher vector [20] uses the Gaussian mixture model to train the codebook and quantizes the features by calculating the probability of a feature falling into the Gaussian mixture.

To address above-mentioned problems, we use the Gaussian mixture model to describe the data (Section 2).

One may use the Gaussian-Mixture-Model (GMM) [ 28] or other data-clustering algorithms to identify the compositional vectors inside the target domain [ 27].

However, instead of using directly the Gaussian mixture probability density function, we use its logarithm to smoothen the exponential effect and thus avoid numerical problems during minimization.

We use this definition to demonstrate that the complexity (connectivity) of genes during rice development increases using the Gaussian cdf GR mixture distribution with parameters shown in Table 1; the results are presented in Figure 6.