Feature Learning and Clustering for Archaeological Pottery Typology
Master Thesis Status: available Supervisors: Martin Kampel, Irene Ballester Build AI for Archaeological Discovery at a UNESCO World Heritage Site Work with real data from Roman Carnuntum (70,000+ pottery drawings) to create classification tools that archaeologists will actually use. Your work will contribute to ongoing Heritage Science research in Austria. Context This thesis tackles a … Continue reading Feature Learning and Clustering for Archaeological Pottery Typology