Marco Fiorucci
Machine Learning for Cultural Heritage: A Survey
Fiorucci, Marco; Khoroshiltseva, Marina; Pontil, Massimiliano; Traviglia, Arianna; Del Bue, Alessio; James, Stuart
Authors
Marina Khoroshiltseva
Massimiliano Pontil
Arianna Traviglia
Alessio Del Bue
Dr Stuart James stuart.a.james@durham.ac.uk
Assistant Professor
Citation
Fiorucci, M., Khoroshiltseva, M., Pontil, M., Traviglia, A., Del Bue, A., & James, S. (2020). Machine Learning for Cultural Heritage: A Survey. Pattern Recognition Letters, 133, 102-108. https://doi.org/10.1016/j.patrec.2020.02.017
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 16, 2020 |
Online Publication Date | Feb 29, 2020 |
Publication Date | 2020-05 |
Deposit Date | Jun 20, 2024 |
Journal | Pattern Recognition Letters (PR-L) |
Print ISSN | 0167-8655 |
Electronic ISSN | 1872-7344 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 133 |
Pages | 102-108 |
DOI | https://doi.org/10.1016/j.patrec.2020.02.017 |
Keywords | own,journal |
Public URL | https://durham-repository.worktribe.com/output/2024581 |
You might also like
Maps from Motion (MfM): Generating 2D Semantic Maps from Sparse Multi-view Images
(2024)
Presentation / Conference Contribution
Positional diffusion: Graph-based diffusion models for set ordering
(2024)
Journal Article
Re-assembling the past: The RePAIR dataset and benchmark for real world 2D and 3D puzzle solving
(2024)
Presentation / Conference Contribution
IFFNeRF: Initialisation Free and Fast 6DoF pose estimation from a single image and a NeRF model
(2024)
Presentation / Conference Contribution
Inclusive Digital Storytelling: Artificial Intelligence and Augmented Reality to re-centre Stories from the Margins
(2023)
Presentation / Conference Contribution