Label propagation based on local information with adaptive determination of number and degree of neighbor׳s similarity

In many practical applications of machine vision, a small number of samples are labeled and therefore, classification accuracy is low. On the other hand, labeling by humans is a very time consuming process, which requires a degree of proficiency. Semi-supervised learning algorithms may be used as a...

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Vydáno v:	Neurocomputing (Amsterdam) Ročník 153; s. 41 - 53
Hlavní autoři:	Saffari, Seyed Alireza, Ebrahimi-Moghadam, Abbas
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 04.04.2015
Témata:	Graph-based algorithms Local information Semi-supervised learning algorithms Sparse representation Semi-supervised learning algorithms Sparse representation Local information Graph-based algorithms
ISSN:	0925-2312, 1872-8286
On-line přístup:	Získat plný text
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