Zobrazeno 1 - 10
of 221
pro vyhledávání: '"Postma, Eric"'
Colorway creation is the task of generating textile samples in alternate color variations maintaining an underlying pattern. The individuation of a suitable color palette for a colorway is a complex creative task, responding to client and market need
Externí odkaz:
http://arxiv.org/abs/2407.11514
Autor:
Ostmeyer, Johann, Schaerf, Ludovica, Buividovich, Pavel, Charles, Tessa, Postma, Eric, Popovici, Carina
Publikováno v:
PLOS ONE 19(2): e0295967 (2024)
Previous research has shown that Artificial Intelligence is capable of distinguishing between authentic paintings by a given artist and human-made forgeries with remarkable accuracy, provided sufficient training. However, with the limited amount of e
Externí odkaz:
http://arxiv.org/abs/2312.14998
In recent years, Transformers, initially developed for language, have been successfully applied to visual tasks. Vision Transformers have been shown to push the state-of-the-art in a wide range of tasks, including image classification, object detecti
Externí odkaz:
http://arxiv.org/abs/2307.03039
Autor:
Schaerf, Ludovica1 (AUTHOR), Postma, Eric2,3 (AUTHOR) e.o.postma@tilburguniversity.edu, Popovici, Carina1 (AUTHOR)
Publikováno v:
Neural Computing & Applications. Jul2024, Vol. 36 Issue 20, p11849-11858. 10p.
We propose Genesis, a one-armed simplified Convolutional Neural Network (CNN)for exoplanet detection, and compare it to the more complex, two-armed CNN called Astronet. Furthermore, we examine how Monte Carlo cross-validation affects the estimation o
Externí odkaz:
http://arxiv.org/abs/2105.06292
Autor:
Postma, Eric Onno.
Proefschrift Rijksuniversiteit Limburg, Maastricht.
Met lit. opg. - Met samenvatting in het Nederlands.
Met lit. opg. - Met samenvatting in het Nederlands.
Externí odkaz:
http://arno.unimaas.nl/show.cgi?fid=7028
Despite their successes in the field of self-learning AI, Convolutional Neural Networks (CNNs) suffer from having too many trainable parameters, impacting computational performance. Several approaches have been proposed to reduce the number of parame
Externí odkaz:
http://arxiv.org/abs/1902.10385
Autor:
van Noord, Nanne, Postma, Eric
In this work we propose Pixel Content Encoders (PCE), a light-weight image inpainting model, capable of generating novel con-tent for large missing regions in images. Unlike previously presented convolutional neural network based models, our PCE mode
Externí odkaz:
http://arxiv.org/abs/1801.05585
Akademický článek
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Publikováno v:
Small Business Economics, 2020 Oct 01. 55(3), 589-605.
Externí odkaz:
https://www.jstor.org/stable/48734899