Probabilistic neuroscale for uncertainty visualisation

Mingmanas Sivaraksa*, David Lowe

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper is a study of low dimensional visualisation methods for data visualisation under uncertainty of the input data. It focuses on NeuroScale, the feed-forward neural networks algorithm by trying to make the algorithm ableto accommodate the uncertainty. The standard model is shown not to work well under high levels of noise within the data and need to be modified. The modifications of the model are verified by using synthetic data to show their ability to accommodate the noise.

Original languageEnglish
Title of host publicationInformation visualization
Pages74-79
Number of pages6
DOIs
Publication statusPublished - 2009
Event13th International Conference Information Visualisation, 2009 - Barcelona, Spain
Duration: 15 Jul 200917 Jul 2009

Publication series

NameIEEE Conference Publications
PublisherIEEE
ISSN (Print)1550-6037

Conference

Conference13th International Conference Information Visualisation, 2009
Abbreviated titleIV 2009
CountrySpain
City Barcelona
Period15/07/0917/07/09

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  • Cite this

    Sivaraksa, M., & Lowe, D. (2009). Probabilistic neuroscale for uncertainty visualisation. In Information visualization (pp. 74-79). (IEEE Conference Publications). https://doi.org/10.1109/IV.2009.106