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We present a high-quality data set of images of Early Medieval beads and propose a clustering pipeline to learn a classification system in a data-driven way.
Abstract—Glass beads were among the most common grave goods in the Early Middle Ages, with an estimated number in the millions. The color, size, shape and ...
Nov 30, 2023 · As an answer to this question, this paper presents an image-set clustering method based on commonality, that is, images preserving strong ...
This work presents a high-quality data set of images of Early Medieval beads and proposes a clustering pipeline to learn a classification system in a ...
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Automatic parameter selection for non-redundant clustering. C Leiber, D Mautz ... Non-Redundant Image Clustering of Early Medieval Glass Beads. L Miklautz, A ...
May 8, 2024 · Non-Redundant Image Clustering of Early Medieval Glass Beads. DSAA ... Automatic Parameter Selection for Non-Redundant Clustering. CoRR abs ...
Deep embedded non-redundant clustering. L Miklautz, D Mautz, MC Altinigneli, C ... Non-Redundant Image Clustering of Early Medieval Glass Beads. L Miklautz, A ...
Non-Redundant Image Clustering of Early Medieval Glass Beads ... clustering to identify multiple, meaningful clusterings of glass bead images ...
Non-redundant Image Clustering of Early Medieval Glass Beads. Under review (KDD 2023 Applications Track). 60. Deep Alternative Clustering. Page 61. Step-by-step ...