Sentence examples for based on parametric models from inspiring English sources

Superresolution algorithms are based on parametric models of the signals and, consequently, they assume that the data satisfy some concrete hypotheses.

Parametric time frequency representation based on parametric models is more desirable for presenting highly precise time frequency domain information due to its high-resolution property.

A non-intrusive video quality estimator based on parametric models that considers the group of pictures (GoP) length, type of frames, packet loss rate, etc. is presented in [8].

Nevertheless, all the above methods are based on parametric models which have several biological and statistical assumptions.

However, Kvam and Liu [ 26] argue that due to the small number of replicates typically used for RNA-Seq experiments, non-parametric methods do not offer enough detection power and suggest that current statistical methods to detect DE genes based on parametric models for RNA-Seq data (e.g. DESeq and edgeR) remain a more adequate approach.

In our special case of imaging with limited noisy measurements, the main disadvantage of approaches based on parametric modeling is the introduction of false scattering centers.

This paper proposes a variation of the adaptive histogram equalization technique called LIDE that is based on parametric model instead of the traditional histogram of intensities.

The proposed method is based on parametric modelling, performance simulation tools and algorithms for computational optimization, for which the paper tackles three specific aspects.

This paper presents a model driven framework based on parametric modeling of late reverberations, parameter estimation using maximum likelihood estimation, and density-based clustering to determine where the recording was made.

Our findings based on parametric modelling are considered to be robust as they were supported by results of the sensitivity analyses with the Kaplan Meier (non-parametric) estimation.

The mean may not give enough weight to small p-values, therefore we also investigated two measures that are based on parametric model assumptions for the distribution of detection p-values.