no code implementations • 14 Mar 2022 • Simone Parisotto, Ninetta Leone, Carola-Bibiane Schönlieb, Alessandro Launaro
In this paper we propose an artificial intelligence imaging solution to support archaeologists in the classification task of Roman commonware potsherds.
no code implementations • 4 Jun 2020 • Simone Parisotto, Alessandro Launaro, Ninetta Leone, Carola-Bibiane Schönlieb
The partiality and the handcrafted variance of the shape fragments within this new database make their unsupervised clustering a very challenging problem: profile similarities are thus explored via the hierarchical clustering of non-linear features learned in the latent representation space of a stacked sparse autoencoder (SSAE) network, unveiling new profile matches.