Sentence examples for multimodal data distributions from inspiring English sources

Rank-transformation to normality (Rtn) (cfr. panel B) effectively deals with multimodal data distributions (cfr. panel A).

Repeated measurements and multimodal data are common in neuroimaging research.

A novel in-house integrated hardware and software experimentation platform, LabNeuro, was used to integrate these multimodal data.

The multimodal data used in the present study can be accessed upon request to the corresponding authors.

Omics data represent a massive source of multimodal data.

A multimodal data analysis approach was used (Kress 2009).

Using a feed-forward network to learn high dimensional sparse hashing codes for multimodal data.

© 2018 ISIF The problem of sequential detection of anomalies in multimodal data is considered.

This is important because it is very expensive to collect fully-aligned multilingual multimodal data.

In this work we propose a novel methodology on multimodal data fusion regarding separate datasets.

One recent trend is the use of multimodal data for achieving high reliability [ 1– 3].