Graph Convolutional Networks based on Manifold Learning for Semi-Supervised Image Classification
Graph Convolutional Networks based on Manifold Learning for Semi-Supervised Image Classification
About this item
Full title
Author / Creator
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
Formats
Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
Subjects
More information
Scope and Contents
Contents
Due to a huge volume of information in many domains, the need for classification methods is imperious. In spite of many advances, most of the approaches require a large amount of labeled data, which is often not available, due to costs and difficulties of manual labeling processes. In this scenario, unsupervised and semi-supervised approaches have...
Alternative Titles
Full title
Graph Convolutional Networks based on Manifold Learning for Semi-Supervised Image Classification
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2806272198
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2806272198
Other Identifiers
E-ISSN
2331-8422
DOI
10.48550/arxiv.2304.12492
