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

We consider the problem of universal joint clustering and registration ofimages and define algorithms using multivariate information functionals. Wefirst study registering two images using maximum mutual information and proveits asymptotic optimality. We then show the shortcomings of pairwiseregistration in multi-image registration, and design an asymptotically optimalalgorithm based on multiinformation. Further, we define a novel multivariateinformation functional to perform joint clustering and registration of images,and prove consistency of the algorithm. Finally, we consider registration andclustering of numerous limited-resolution images, defining algorithms that areorder-optimal in scaling of number of pixels in each image with the number ofimages.

Universal Joint Image Clustering and Registration using Partition Information