Dimitra Dafi

dblp:52/7583 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Image and video processing · 67% Multimedia analysis and retrieval · 33%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational social science and digital humanities · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video processing
document image analysis
0.112009
Automatic Writer Identification of Ancient Greek Inscriptions · IEEE Trans. Pattern Anal. Mach. Intell. 2009
Multimedia analysis and retrieval › image analysis › image understanding
historical document analysis
0.112009
Automatic Writer Identification of Ancient Greek Inscriptions · IEEE Trans. Pattern Anal. Mach. Intell. 2009
Image and video processing › document image analysis
writer identification
0.112009
Automatic Writer Identification of Ancient Greek Inscriptions · IEEE Trans. Pattern Anal. Mach. Intell. 2009
Computational social science and digital humanities
archaeology
0.012009
Automatic Writer Identification of Ancient Greek Inscriptions · IEEE Trans. Pattern Anal. Mach. Intell. 2009

Methods — techniques the papers use, named apart from their topics

statistical hypothesis testing · 0.2prototype computation · 0.2maximum likelihood estimation · 0.2
YearPublicationVenuePosition
2009 Automatic Writer Identification of Ancient Greek Inscriptions
abstract
This paper introduces a novel methodology for the classification of ancient Greek inscriptions according to the writer who carved them. Inscription writer identification is crucial for dating the written content, which in turn is of fundamental importance in the sciences of history and archaeology. To achieve this, we first compute an ideal or "platonic" prototype for the letters of each inscription separately. Next, statistical criteria are introduced to reject the hypothesis that two inscriptions are carved by the same writer. In this way, we can determine the number of distinct writers who carved a given ensemble of inscriptions. Next, maximum likelihood considerations are employed to attribute all inscriptions in the collection to the respective writers. The method has been applied to 24 Ancient Athenian inscriptions and attributed these inscriptions to six different identified hands in full accordance with expert epigraphists' opinions.
Mihalis Panagopoulos, Constantin Papaodysseus, Panayiotis Rousopoulos, Dimitra Dafi, Stephen Tracy
IEEE Trans. Pattern Anal. Mach. Intell.4