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 Tools annual

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 Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Dealing with visualizations containing large data set is a challenging issueand, in the field of Information Visualization, almost every visual techniquereveals its drawback when visualizing large number of items. To deal with thisproblem we introduce a formal environment, modeling in a virtual space theimage features we are interested in (e.g, absolute and relative density,clusters, etc.) and we define some metrics able to characterize the imagedecay. Such metrics drive our automatic techniques (i.e., not uniform sampling)rescuing the image features and making them visible to the user. In this paperwe focus on 2D scatter-plots, devising a novel non uniform data samplingstrategy able to preserve in an effective way relative densities.

By chance is not enough: Preserving relative density through non uniform sampling