Sentence examples for mixture models have from inspiring English sources

Finite mixture models have been applied for different computer vision, image processing and pattern recognition tasks.

We then assess how a decade's worth of constrained mixture models have contributed to a lucid, emerging picture of G&R mechanisms.

However, despite these constraints, estimates of relative sediment contributions to the modern fluvio-deltaic Mississippi based on DZ mixture models have excellent positive correlation to measured and historic relative suspended sediment loads measured in tributaries to the lower Mississippi system since ca. the 1900s28.

Recently, Dirichlet process (infinite) mixture models have emerged in the cornerstone of nonparametric Bayesian statistics as promising candidates for clustering applications where the number of clusters is unknown a priori.

To date, few mixture models have been designed.

Such mixture models have been successfully applied to other problems in biology (e,g, [8] [10]).

The majority of the work done concerning finite mixture models has focused on mixtures for continuous data.

A model-based analysis based on statistical mixture models has been recently reported by [ 66], for cell subtype identification in flow cytometry.

The convergence properties of EM algorithm over Gaussian Mixture Model have been extensively studied in [19, 20].

The first two, the hard k-means and the Gaussian mixture model, have previously been used in other TF-based clustering BSS systems [14, 24], whilst the fuzzy c-means is the proposed mask estimation technique.

Three-dimensional governing equations with using two-phase mixture model have been solved to investigate hydrodynamic and thermal behaviours of the nanofluid over wide range of nanoparticle volume fractions.