English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In this work, we use the Belief Function Theory which extends theprobabilistic framework in order to provide uncertainty bounds to differentcategories of crowd density estimators. Our method allows us to compare themulti-scale performance of the estimators, and also to characterize theirreliability for crowd monitoring applications requiring varying degrees ofprudence.

Evaluating Crowd Density Estimators via Their Uncertainty Bounds