Interpretable Visual Feature Discovery using Multiple Instance Learning: A Case Study of Colonial Korean Print

Publication Details

Journal
Computational Humanities Research
Published
2026-06-16
DOI
https://doi.org/10.1017/chr.2026.10036
Primary Topic
Handwritten Text Recognition Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Interpretable Visual Feature Discovery using Multiple Instance Learning: A Case Study of Colonial Korean Print

Computational Humanities Research
Handwritten Text Recognition Techniques
article

Interpretable Visual Feature Discovery using Multiple Instance Learning: A Case Study of Colonial Korean Print

article en

Abstract

No abstract available for this paper.
Computational Humanities Research
Openalex Percentile: Top 4%
Handwritten Text Recognition Techniques
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