A meta-learning approach for selecting image segmentation algorithm

•Automated selection of image segmentation algorithms.•Computational cost reduction in image segmentation tasks.•Meta-learning outperformed any single algorithm explored over the whole dataset.•Machine Learning and Gradient-based image segmentation algorithms were studied.•Experiments were conducted...

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Vydáno v:	Pattern recognition letters Ročník 128; s. 480 - 487
Hlavní autoři:	Aguiar, Gabriel Jonas, Mantovani, Rafael Gomes, Mastelini, Saulo M., de Carvalho, André C.P.F.L., Campos, Gabriel F.C., Junior, Sylvio Barbon
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Amsterdam Elsevier B.V 01.12.2019 Elsevier Science Ltd
Témata:	Algorithm recommendation Algorithms Artificial intelligence Computer applications Cybernetics Gradient-based techniques Image processing Image segmentation Learning algorithms Machine learning Meta-learning Image segmentation Algorithm recommendation Gradient-based techniques Meta-learning
ISSN:	0167-8655, 1872-7344
On-line přístup:	Získat plný text
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