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Seminario MATLAB y Simulink

Fecha de primera publicación: 20/04/2018

 

 

MATLAB for Research
Artificial Intelligence for Computer Vision and Deep Learning

 

UPV/EHU, Aula 102 del Aulario de las Nieves, Campus de Álava

 

3 de mayo (16:30/19:00)

Únete a nosotros en esta presentación donde hablaremos sobre las capacidades y novedades de MATLAB y otros productos de MathWorks en una de las principales áreas de interés en docencia e investigación hoy en día: la Inteligencia Artificial para Computer Vision y Deep Learning.

 

Registro

 

Agenda:

Image Processing and Computer Vision with MATLAB

 

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Perform image analysis to extract data from images

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Perform image enhancement on noisy images

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Recognize objects using scale- and rotation-invariant features

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Use a cascade-classifier algorithm to find objects of interest

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Ground Truth Labeling

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Track objects using a point tracking algorithm

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Kalman Filtering to predict the location of moving objects

 

Deep Learning for Object Detection with MATLAB

 

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Manage extremely large sets of images

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Visualize networks and gain insight into their black box nature

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Train Deep Neural Networks from scratch

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Leveraging pre-trained networks such as AlexNet or GoogLeNet to perform new recognition tasks using transfer learning

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Import and use pre-trained models from TensorFlow and Caffe

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Perform pixel-level semantic segmentation on images

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Speed up network training with parallel computing on a cluster

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Automatically generate code to run on GPUs, Intel and ARM processors

 

Se enviarán certificados de asistencia.

 

» Reserva tu plaza ahora.

 

Ponentes

 

Lucas García

 

Lucas García, PhD — Senior Application Engineer
MathWorks

 

Angel Sierra

 

Angel Sierra — Responsable Comunidad Académica para España y Portugal
MathWorks