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Trained Models for ICSC Flagship 2.6.1. "Extended Computer Vision at high rate" paper #1 "Datacube segmentation via Deep Spectral Clustering"
Alessandro Bombini;
Fernando García-Avello Bofías;
Caterina Bracci;
Michele Ginolfi;
Chiara Ruberto
BibTeX Export
@misc{alessandro_bombini_2024_143543,
author = {Alessandro Bombini and
Fernando García-Avello Bofías and
Caterina Bracci and
Michele Ginolfi and
Chiara Ruberto},
title = {{Trained Models for ICSC Flagship 2.6.1. "Extended
Computer Vision at high rate" paper #1 "Datacube
segmentation via Deep Spectral Clustering"}},
month = jan,
year = 2024,
note = {{This work is (partially) supported by ICSC –
Centro Nazionale di Ricerca in High Performance
Computing, Big Data and Quantum Computing, funded
by European Union – NextGenerationEU, by the
European Commission within the Framework Programme
Horizon 2020 with the project "4CH - Competence
Centre for the Conservation of Cultural Heritage"
(GA n.101004468 – 4CH) and by the project AIRES–CH
- Artificial Intelligence for digital REStoration
of Cultural Heritage jointly funded by the Tuscany
Region (Progetto Giovani Sì) and INFN.}},
doi = {10.15161/oar.it/143543},
url = {https://doi.org/10.15161/oar.it/143543}
}
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- Publication date:
- January 5, 2024
- DOI:
-
- Keyword(s):
- artificial intelligence neural networks Variational Autoencoder Deep Clustering Trained Models Flagship 2.6.1 ICSC Spoke 2
- Related identifiers:
- Supplement to:
https://github.com/ICSC-Spoke2-repo/FastExtendedVision-DeepCluster - Supplementary material:
10.15161/oar.it/143545 - Communities:
- License (for files):
- Creative Commons Attribution 4.0