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

This paper introduces an innovative approach for handling 2D compoundhypotheses within the Belief Function Theory framework. We propose apolygon-based generic rep- resentation which relies on polygon clippingoperators. This approach allows us to account in the computational cost for theprecision of the representation independently of the cardinality of thediscernment frame. For the BBA combination and decision making, we proposeefficient algorithms which rely on hashes for fast lookup, and on a topologicalordering of the focal elements within a directed acyclic graph encoding theirinterconnections. Additionally, an implementation of the functionalitiesproposed in this paper is provided as an open source library. Experimentalresults on a pedestrian localization problem are reported. The experiments showthat the solution is accurate and that it fully benefits from the scalabilityof the 2D search space granularity provided by our representation.

2CoBel : An Efficient Belief Function Extension for Two-dimensional Continuous Spaces