Siamese Networks for Few Shot Learning

The Master of Science in Signal Theory and Communications (MSTC)-Signal Processing and Mchine Learning for Big Datais a multi-disciplinary programme designed to provide graduate students with the knowledge and skills on fast evolvieng AI technologies and applications.

MSTC AI Master Program

Siamese Networks for Few Shot Learning
<H3 CLASS="MsoNormal">Machine learning, and especially Deep Learning, has achieved state-of-the-art performance in a variety of applications using large databases. However, these algorithms break down when forced to make predictions with little supervised information. </H3>
<H3 CLASS="MsoNormal">This problem, also known as Few Shot Learning, can be properly addressed by Siamese Networks, which are based on a architecture that computes similarities among highly semantic features representations.</H3>
<H4>Monday 16th December 2019 (16:00 - 17:00)</H4>
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<H3>The conference will be given by: </H3>
Prof. Carlos R. del Blanco
<A HREF="https://www.gti.ssr.upm.es/" TARGET="_blank" TITLE="GTI - UPM" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Grupo de Tratamiento de Imágenes - UPM</A> 
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Where:
ETSI Telecomunicación
UNIVERSIDAD POLITÉCNICA DE MADRID
Avda. Complutense 30
A Building (Room A-123) 
 
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<H4 CLASS="MsoNormal">This Seminar is joinly organized by: </H4>
<A HREF="https://iptc.upm.es/" TARGET="_blank" TITLE="IPTC Information Processing and Telecommunications Center" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">IPTC Information Processing and Telecommunications Center </A>
<A HREF="http://www.mstc.ssr.upm.es/big-data-track" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">MSTC Master Program: Signal Processing and Machine Learning for Big Data</A>
<H2> </H2>

Ciudad Universitaria

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Siamese Networks for Few Shot Learning

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