Sentence examples for maximum classification likelihood from inspiring English sources

A method of merging models using agglomerative clustering approach where models have been merged based on a maximum classification likelihood measure has been described in [36].

There is though no guarantee that the CEM algorithm can reach the global maximum of the classification likelihood function because this depends on the initial values [ 17].

Maximum likelihood classification method has been used for land use/cover classification.

Maximum Likelihood Classification.

Maximum likelihood classification (MLC) technique is used to classify the satellite images after geometric correction and radiometric normalisation.

Classification accuracy as a result of maximum likelihood classification resulted in an overall accuracy of 87 and 89 % and KHAT accuracy of 85 and 87%% in 1998 and 2010, respectively (Table 2).

Parametric per-pixel supervised (maximum likelihood) classification methods are used in combination with object-based classification methods to map urban features over New York City.

MLC (maximum likelihood classification) and SVM (support vector machine) are implemented for image classification.

The result of maximum likelihood classification (MLC) was used to compare with the result of the classification based on the rough set theory.

An existing hybrid approach based on genetic algorithm and maximum likelihood classification (GA/MLHD) is proposed to select a small number of relevant genes for accurate classification of samples.

The measure (20) has a connection to maximum likelihood classification.