31.2350, Summer Schools: TimeMatrix for Researchers Webinar / Online

[The LINGUIST List]

LINGUIST List: Vol-31-2350. Wed Jul 22 2020. ISSN: 1069 - 4875.

Subject: 31.2350, Summer Schools:  TimeMatrix for Researchers Webinar / Online

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Date: Wed, 22 Jul 2020 14:50:48
From: Rose Gregorio [rose.gregorio at bsc.es]
Subject: TimeMatrix for Researchers Webinar / Online

 

TimeMatrix for Researchers Webinar

Host Institution: 
Website: https://saintgeorgeonabike.eu/events/timematrix-researchers-webinar

Dates: 09-Sep-2020 - 10-Sep-2020
Location: Online, Online, Spain

Focus: Participants will be introduced to what we call the time machine effect, which consists of the objects of an image being transformed via deep learning methods to similar concepts that are more appropriate to another time period. The technical challenges and current solutions will be discussed.
Minimum Education Level: No Minimum


Special Qualifications:
Prerequisites:
-Active interest in cultural heritage a must.
-Basic knowledge of Natural Language Processing a plus.
-Using Neural Networks a plus.


Description:
Are you a researcher in data mining or data science? The TimeMatrix for
Researchers Webinar may be for you.

In caption generator systems, the identification of the figures depicted in an
image depends on a matrix of weights for each of the classes with which the
system has been trained. Current caption generators are trained with images
that reflect present time lifestyles. Therefore the matrix is in fact a
TimeMatrix of the present. The course will show how the identification of
classes varies as the matrix of weights depends on data relative to past
centuries. This produces a time machine effect where the bike of a person in
the TimeMatrix of the present becomes a horse of Saint George in the
TimeMatrix of the 15th century.

This webinar will demonstrate the Saint George on a Bike project results and
potential to adapt automatically produced descriptions of paintings to the
time period when they were created. The course will pose and discuss
challenges for researchers. At the end of the course, a demo will be conducted
to show correction of anachronisms and class refinement examples.


Linguistic Field(s): Computational Linguistics

Tuition: 0 EURO

Tuition Explanation: This is a free webinar.


Registration: 20-Jul-2020 to 08-Sep-2020

Contact Person: Rose Gregorio
                Email: rose.gregorio at bsc.es


Registration Instructions:
Please register to the webinar in order to receive a Zoom link.




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