Sentence examples for methods usually assume from inspiring English sources

However, the traditional color-texture segmentation methods usually assume that the color-based and texture-based segmentation results are globally consistent, which is not always the case.

These methods usually assume certain statistical properties for interference and tend to lack the capacity of dealing with a variety of interferences.

Traditional methods usually assume that the distributed parameters of the network are symmetrical, thus are unsuitable for the asymmetrical networks, especially when the ground-fault resistance is relatively high.

Conventional open-water evaporation estimation methods usually assume that the surface temperatures of lakes remain uniform and that evaporation proceeds more or less at the same rate over the total lake surface.

Compared with traditional array methods such as the semblance method (Neidell and Taner 1971), seismic gradiometry has the advantage that it estimates slowness as a spatially varying value, whereas other array methods usually assume a homogeneous plane wave incidence.

Existing efficient feature selection algorithms (feature ranking methods) usually assume feature independence, and assign a discriminative score to each feature.

On the other hand, the probabilistic method usually assumes that wind speed, wind power or wind forecast error follows a specific probabilistic distribution.

Most of current models are built using the parametric density estimation (PDE) methods, which usually assume that the wind speed are subordinate to a certain known distribution (e.g. Weibull distribution and Normal distribution) and estimate the parameters of models with the historical data.

Because most of the probes are predicted to have different signals between the two channels, traditional normalization methods, which usually assume a bulk of non-differentially expressed genes in the data set, cannot be readily used.

This will cause many sensing methods unworkable, because they usually assume that the noise samples are i.i.d.i.d

CTT-methods, like the alpha, usually assume continuous interval data with a unique scale parameter and a specified distribution of residuals.