Recent Advances in Maximum-Entropy Sampling
Marcia Fampa, Jon Lee
TL;DR
This paper surveys recent advancements in maximum-entropy sampling, highlighting new algorithms and applications developed since the authors' 2022 publication.
Contribution
It provides an overview of the latest developments and highlights in maximum-entropy sampling research since 2022.
Findings
Summary of recent algorithmic improvements
New application areas identified
Key challenges and future directions discussed
Abstract
In 2022, we published the book Maximum-Entropy Sampling: Algorithms and Application (Springer). Since then, there have been several notable advancements on this topic. In this manuscript, we survey some recent highlights.
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Taxonomy
TopicsSpectroscopy Techniques in Biomedical and Chemical Research · Sparse and Compressive Sensing Techniques · Image Processing Techniques and Applications