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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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 153; pp. 41 - 53
Main Authors:	Saffari, Seyed Alireza, Ebrahimi-Moghadam, Abbas
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 04.04.2015
Subjects:	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
Online Access:	Get full text
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