Convolutional neural networks for archaeological site detection–Finding “princely” tombs
G Caspari, P Crespo - Journal of Archaeological Science, 2019 - Elsevier
Creating a quantitative overview over the early Iron Age heritage of the Eurasian steppes is
a difficult task due to the vastness of the ecological zone and the often problematic access …
a difficult task due to the vastness of the ecological zone and the often problematic access …
A deep learning approach to ancient egyptian hieroglyphs classification
Nowadays, advances in Artificial Intelligence (AI), especially in machine and deep learning,
present new opportunities to build tools that support the work of specialists in areas …
present new opportunities to build tools that support the work of specialists in areas …
Egyptian hieroglyphs segmentation with convolutional neural networks
The objective of this work is to show the application of a Deep Learning algorithm able to
operate the segmentation of ancient Egyptian hieroglyphs present in an image, with the …
operate the segmentation of ancient Egyptian hieroglyphs present in an image, with the …
Accelerating the discovery of new Nasca geoglyphs using deep learning
M Sakai, Y Lai, JO Canales, M Hayashi… - Journal of Archaeological …, 2023 - Elsevier
We discuss an archaeological research of employing deep learning (DL) based object
detection on high-resolution aerial photographs to discover Nasca geoglyphs, which have …
detection on high-resolution aerial photographs to discover Nasca geoglyphs, which have …
Ancient Egyptian hieroglyphs segmentation and classification with convolutional neural networks
Deep Learning is expanding in every domain of knowledge, allowing specialists to build
tools to support their work in fields apparently unrelated to information technology. In this …
tools to support their work in fields apparently unrelated to information technology. In this …
Encoding hieroglyph segments to represent hieroglyphs following the bag of visual word model for retrieval
LA Pinilla-Buitrago, JF Martínez-Trinidad… - Expert Systems with …, 2022 - Elsevier
The representation of hieroglyphs in retrieval systems represents a great challenge since
these systems' results highly depend on the used representation. In the literature, the most …
these systems' results highly depend on the used representation. In the literature, the most …
Quantifying the invariance and robustness of permutation-based indexing schemes
Providing a fast and accurate (exact or approximate) access to large-scale multidimensional
data is a ubiquitous problem and dates back to the early days of large-scale Information …
data is a ubiquitous problem and dates back to the early days of large-scale Information …