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of 245
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
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
Autor:
van Noord, Nanne, Postma, Eric
Convolutional Neural Networks (CNNs) require large image corpora to be trained on classification tasks. The variation in image resolutions, sizes of objects and patterns depicted, and image scales, hampers CNN training and performance, because the ta
Externí odkaz:
http://arxiv.org/abs/1602.01255