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Evaluating Shape Representations for Maya Glyph Classification

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Visual Analysis of Maya Glyphs via Crowdsourcing and Deep Learning

Gülcan Can

In this dissertation, we study visual analysis methods for complex ancient Maya writings. The unit sign of a Maya text is called glyph, and may have either semantic or syllabic significance. There are over 800 identified glyph categories, and over 1400 var ...

EPFL2017

Analyzing and Visualizing Ancient Maya Hieroglyphics Using Shape: from Computer Vision to Digital Humanities

Daniel Gatica-Perez, Jean-Marc Odobez, Rui Hu

Maya hieroglyphic analysis requires epigraphers to spend a significant amount of time browsing existing catalogs to identify individual glyphs. Automatic Maya glyph analysis provides an efficient way to assist scholars’ daily work. We introduce the Histogr ...

2017

Temporally Coherent Clustering of Student Data

The extraction of student behavior is an important task in educational data mining. A common approach to detect similar behavior patterns is to cluster sequential data. Standard approaches identify clusters at each time step separately and typically show l ...

EDM2016

Data Processing of tomoPIV measurements of a wind turbine in a wind tunnel

Florian Elias Landerer

This semester project had the focus on the processing of tomographic particle image velocimetry (tomoPIV) measurements. The measurements are based on a new approach which has been developed by LaVision and conducted previously in collaboration with the lab ...

2016

Visualizing Complex Organizations with Data

Dario Rodighiero

The Affinity Map is a project founded by the ENAC whose aim is to provide an instrument to understand organizations. The photograph shows the disclosure of the first map for the ENAC Research Day. The visualization was presented to scholars who are display ...

2016

Runtime Prediction for Scale-Out Data Analytics

Adrian Daniel Popescu

Many analytics applications generate mixed workloads, i.e., workloads comprised of analytical tasks with different processing characteristics including data pre-processing, SQL, and iterative machine learning algorithms. Examples of such mixed workloads ca ...

EPFL2015

Modeling annotator behaviors for crowd labeling

Oya Aran

Machine learning applications can benefit greatly from vast amounts of data, provided that reliable labels are available. Mobilizing crowds to annotate the unlabeled data is a common solution. Although the labels provided by the crowd are subjective and no ...

2015

Multimedia Analysis and Access of Ancient Maya Epigraphy

Daniel Gatica-Perez, Jean-Marc Odobez, Gülcan Can, Rui Hu

This article presents an integrated framework for multimedia access and analysis of ancient Maya epigraphic resources, which is developed as an interdisciplinary effort involving epigraphers (someone who deciphers ancient inscriptions) and computer scienti ...

IEEE2015

The Maya blue nanostructured material concept applied to colouring geopolymers

Guillaume Habert, Aurélie Rosine Favier

Maya blue is an ancient nanostructured pigment synthetized by assembling indigo, a natural dye, with palygorskite, a microfibrous clay mineral. The novelty of our approach is to mimic "pre-Columbian nanotechnology" and to functionalize geopolymers with a s ...

Royal Soc Chemistry2015

Semi-supervised and unsupervised kernel-based novelty detection with application to remote sensing images

Frank Grégoire Jean de Morsier

The main challenge of new information technologies is to retrieve intelligible information from the large volume of digital data gathered every day. Among the variety of existing data sources, the satellites continuously observing the surface of the Earth ...

EPFL2014