Immiscible color flows in optimal transport networks for image classification

Lonardi, Alessandro; Theuerkauf, Diego; De Bacco, Caterina

doi:10.3389/fphy.2023.1089114

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Journal Article

Immiscible color flows in optimal transport networks for image classification

MPS-Authors

/persons/resource/persons288851

Lonardi, Alessandro
Max Planck Research Group Physics for Inference and Optimization, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons288749

Theuerkauf, Diego
Max Planck Research Group Physics for Inference and Optimization, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons232311

De Bacco, Caterina
Max Planck Research Group Physics for Inference and Optimization, Max Planck Institute for Intelligent Systems, Max Planck Society;

External Resource

https://doi.org/10.3389/fphy.2023.1089114
(Publisher version)

https://doi.org/10.48550/arXiv.2205.02938
(Preprint)

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Lonardi, A., Theuerkauf, D., & De Bacco, C. (2023). Immiscible color flows in optimal transport networks for image classification. Frontiers in Physics, 11: 1089114. doi:10.3389/fphy.2023.1089114.

Cite as: https://hdl.handle.net/21.11116/0000-000F-DF74-4

Abstract

There is no abstract available