On November 27 ,2017, Gulcan Can successfully defended her PhD thesis entitled 'Visual Analysis of Maya Glyphs via Crowdsourcing and Deep Learning'
This thesis presents visual analysis methods for complex ancient Maya writings, specifically a promising crowdsourcing approach to build a large glyph dataset, competitive data-driven visual representations, and interpretable visualization methods that can be applied to explore various other Digital Humanities datasets.
Congratulations to Gulcan Can for her excellent work. She received the PhD diploma from her thesis advisors (Prof. Daniel Gatica-Perez and Dr. Jean-Marc Odobez).
The link to the pdf of the thesis is also available here: Visual Analysis of Maya Glyphs via Crowdsourcing and Deep Learning.