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

This paper provides fascinating connections between several mathematicalproblems which lie on the intersection of several mathematics subjects, namelyalgebraic geometry, approximation theory, complex-harmonic analysis and highdimensional data science. Modern techniques in algebraic geometry,approximation theory, computational harmonic analysis and extensions developthe first of its kind, a unified framework which allows for a simultaneousstudy of labeled and unlabeled near alignment data problems in of $\mathbb R^D$with the near isometry extension problem for discrete and non-discrete subsetsof $\mathbb R^D$ with certain geometries. In addition, the paper surveysrelated work on clustering, dimension reduction, manifold learning, vision aswell as minimal energy partitions, discrepancy and min-max optimization.Numerous open problems are given.

On the Whitney near extension problem, BMO, alignment of data, best  approximation in algebraic geometry, manifold learning and their beautiful  connections: A modern treatment