Sentence examples for many algorithms assume from inspiring English sources

Many algorithms assume the appearance of an object as being invariable during tracking.

Many algorithms assume that the majority of a sample is diploid and any gains and losses are determined based on normalizing the coverage of each chromosome using this assumption.

For example, many state estimation algorithms assume Gaussian noise of the sensors reading.

However, many of these algorithms assume that scene is illuminated uniformly and shadows mean that this assumption is not always valid for outdoor scenes.

Given a color vector without cast shadows, many shadow detection algorithms assume that the vector under cast shadows keeps the original vector direction.

Second, many copy number calling algorithms assume that the baseline normal level of two copies should be centered around log ratio 0, but this can depend on the normalization procedures.

In many of the aforementioned problems, the involved algorithms assume that they are provided with an ordered point set and standard polygonal approximation [4, 5] is then applied.

As the result, in the environments with many fluctuations, the MLPWD and the SVM algorithms assume that the spikes are noise in the data.

But existing sampling algorithms assume that the signal varies continuously up and down.

These two algorithms assume a leader process.

These algorithms assume that wavelet coefficients are independent.