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Fall 2022 — Issue 1, Volume 2

This issue of 鶹ýAV BITS the Information Theory Magazine showcases how information processing tools can be used to address challenges arising in the arts and humanities.

Column article(s)

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Machine learning (ML), being now widely accessible to the research community at large, has fostered a proliferation of new and striking applications of these emergent mathematical techniques across a wide range of disciplines. In this article, we will focus on a particular case study: the field of paleoanthropology, which seeks to understand the evolution of...

Jan 3, 2023
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Jeff Calder
University of Minnesota, Minneapolis, MN, USA
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Reed Coil
Nazarbayev University, Nur-Sultan, Kazakhstan
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J. Anne Melton
University of Minnesota, Minneapolis, MN, USA
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Peter J. Olver
University of Minnesota, Minneapolis, MN, USA
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Gilbert Tostevin
University of Minnesota, Minneapolis, MN, USA
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Katrina Yezzi-Woodley
University of Minnesota, Minneapolis, MN, USA

Ancient texts are unique evidence providing a glimpse into the thoughts, day-to-day life, and culture of people of long-gone eras. Paleography, the study of writing, aims at documenting the inscriptions, transliterating the texts, reconstructing their historical context, and studying the evolution of writing itself. The digital revolution gave rise to comput...

Jan 3, 2023
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Shira Faigenbaum-Golovin
Department of Mathematics and Rhodes Information Initiative, Duke Univ...
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Arie Shaus
Department of Genetics, Harvard Medical School, Boston, MA, USA
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Textual documents, such as manuscripts and historical newspapers, make up an important part of our cultural heritage. Massive digitization projects have been conducted across the globe for a better preservation of, and for providing easier access to such, often vulnerable, documents. These digital counterparts also allow to unlock the rich information contai...

Jan 3, 2023
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Tan Lu
Vrije Universiteit Brussel, Brussel, Belgium
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Ann Dooms
Vrije Universiteit Brussel, Brussel, Belgium

Information lattice learning (ILL) is a novel framework for knowledge discovery based on group-theoretic and information-theoretic foundations, which can rediscover the rules of music as known in the canon of music theory and also discover new rules that have remained unexamined. Such probabilistic rules are further demonstrated to be human-interpretable. IL...

Jan 3, 2023
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Haizi Yu
University of Chicago, Chicago, IL, USA
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Heinrich Taube
University of Illinois Urbana-Champaign, Urbana, IL, USA
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James A. Evans
University of Chicago, Chicago, IL, USA

An important question in cultural heritage concerns the make process of an artifact. Understanding the make process provides insight related to the origin, techniques, and craftsmanship used to make the artifact. Searching for tool marks or traces left by the artist’s hand is one way of retrieving clues related to the make process. X-ray computed tomography ...

Jan 3, 2023
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Robert van Liere
Centrum voor Wiskunde en Informatica, Amsterdam, The Netherlands
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Kees Joost Batenburg
Leiden University, Leiden, The Netherlands
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Isabelle Garachon
Rijksmuseum, Amsterdam, The Netherlands
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Ching-Ling Wang
Rijksmuseum, Amsterdam, The Netherlands
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Jan Dorscheid
Rijksmuseum, Amsterdam, The Netherlands

Empirical research in science and the humanities is vulnerable to bias which, by definition, implies incorrect or misleading findings. Artificial intelligence-based analysis of visual artworks is vulnerable to bias in ways specific to the domain. Works of art belong to a distinct cultural category that often prioritizes such characteristics as hand-craftsman...

Jan 3, 2023
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Zhuomin Zhang
The Pennsylvania State University, University Park, PA, USA
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Jia Li
The Pennsylvania State University, University Park, PA, USA
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David G. Stork
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Elizabeth Mansfield
The Pennsylvania State University, University Park, PA, USA
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John Russell
The Pennsylvania State University, University Park, PA, USA
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Catherine Adams
The Pennsylvania State University, University Park, PA, USA
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James Z. Wang
The Pennsylvania State University, University Park, PA, USA

X-ray fluorescence (XRF) analysis of art objects has rapidly gained popularity since the late 2000s due to its increased accessibility to scientists. This introduced an imaging component whereby the XRF image volume provides clues as to which chemical elements are present and where they are located spatially in the object. However, as is the nature of collec...

Jan 3, 2023
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Henry Chopp
Robert R. McCormick School of Engineering and Applied Science, Northwe...
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Alicia McGeachy
Robert R. McCormick School of Engineering and Applied Science, Northwe...
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Matthias Alfeld
Materials Science and Engineering, TU Delft, Delft, The Netherlands
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Oliver Cossairt
Robert R. McCormick School of Engineering and Applied Science, Northwe...
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Marc Walton
M+, Kowloon, Hong Kong
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Aggelos Katsaggelos
Robert R. McCormick School of Engineering and Applied Science, Northwe...

In recent decades, cultural heritage research—and in particular art investigation—has been undergoing a digital revolution. This is due both to improvements in the digitization and the acquisition of artifact’s images generated using traditional 2-D imaging methods as well as the growing adoption of a range of more recently introduced spectroscopic imaging t...

Jan 3, 2023
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Spike Bucklow
University of Cambridge, Cambridge, U.K.
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Nathan Daly
National Gallery, London, U.K.
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Ingrid Daubechies
Duke University, Durham, NC, USA
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Pier Luigi Dragotti
Imperial College, London, U.K.
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Catherine Higgitt
National Gallery, London, U.K.
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Jun-Jie Huang
College of Computer Science, National University of Defense Technology...
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Aleksandra Pižurica
Department Telecommunications and Information Processing, Ghent Univer...
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Wei Pu
University College London, London, U.K.
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Suzanne Reynolds
University of Cambridge, Cambridge, U.K.
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Carola-Bibiane Schönlieb
University of Cambridge, Cambridge, U.K.
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Su Yan
Imperial College, London, U.K.