Sentence examples for statistical fusion from inspiring English sources

Whereas past methods have been limited to producing samples with matching statistical behavior, the patterns of grey-level values in a measured sample actually say something about the unresolved details, thus we propose a statistical fusion framework for reconstructing high-resolution porous media images from low-resolution measurements.

Finally, several QA techniques use multiple features to form a composite quality score via (statistical) fusion; they are referred to as combined features.

For instance, it has successfully been applied to iris recognition methods (e.g., [12, 14]), giving rise to a better performance in comparison with that of statistical fusion rules or kernel-based match score fusion methods.

By utilizing precomputed distributions of genuine and imposter scores, the quality of a sample is measured by statistical fusion of two quality metrics: (a) statistical error between the distribution of genuine and imposter scores and (b) normalized difference between the sample match score and some quantile points selected from the genuine and imposter distributions.

The first section presents the statistical fusion model, while the second outlines the prediction methodology.

There are two main types of statistical fusion models, namely: the regression approach, and the latent process approach.

This paper proposes a hybrid refinement scheme for more accurate localization of phonetic boundaries by combining three different post-processing techniques, including statistical correction, fusion, and predictive models.

Consequently, our statistical data fusion method can gain valuable new insights into genomewide models of transcriptional regulatory networks.

Statistical data fusion for TF target gene prediction becomes more challenging in the case of multiple information sources.

In this section, we consider two frequentist‐based statistical data fusion methods, both of which are implemented in the R software program mice (van Buuren and Groothuis‐Oudshoorn 2010).

Instead of relying on a single source for information, statistical data fusion techniques will be applied to collate data from various sources.