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CALL. 28.10.2016: [SESSION 19] Machine Learning for Applications in Archaeology (session at Computer Applications and Quantitative Methods in Archaeology, CAA2017) - Atlanta (USA)

11.10.2016

 

 

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FECHA LÍMITE/DEADLINE/SCADENZA: 28/10/2016

 

FECHA CONGRESO/CONGRESS DATE/DATA CONGRESSO: 14-15-16/03/2017

 

LUGAR/LOCATION/LUOGO: Georgia State University in Atlanta, (Atlanta, Georgia, USA)


ORGANIZADOR/ORGANIZER/ORGANIZZATORE: Edgar Roman-Rangel ; Diego Jimenez-Badillo ; Stephane Marchand-Maillet

 

INFO: web 

 

CALL: 

 

After the success of the session "Machine Learning and Pattern Recognition for Archaeological Research" held during the CAA 2015, we are delighted to hold the session "Machine Learning for Applications in Archaeology". This session will bring together multidisciplinary research groups to create a common dialogue on progress of Machine Learning (ML) accessible to archaeologists, and the challenges that Archeology may propose to modern ML. You are invited to submit your original work presenting contributions to ML research, and highlighting the benefits of well-known techniques in the context of archaeological research. The submission should contain both a formal presentation of the mathematical principles driving the application, and an intuitive description that non-experts can assess. This session will be organized in two parts, one presenting novel applications of well known ML methods to archaeological problems, and one introducing recent machine learning developments driven by needs in Archaeology. Topics of interest include, but are not limited to, computer vision, image and document classification, deep learning, information retrieval, visualization, manifold learning, automatic translation, statistical analysis of archaeological corpus.

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