Similarity measure and domain adaptation in multiple mixture model clustering: An application to image processing-Reference-Cited by-同舟云学术

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Similarity measure and domain adaptation in multiple mixture model clustering: An application to image processing

Published:2017-07-07 Issue:7 Volume:12 Page:e0180307
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Leong Siow Hoo,Ong Seng Huat^ORCID

Funder

Fundamental Research Grant Scheme, Ministry of Higher Education,Malaysia

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference57 articles.

1. Model-based clustering for image segmentations and large datasets via sampling;R Wehrens;Journal of Classification,2004

2. Using active learning to adapt remote sensing image classifiers;D Tuia;Remote Sensing of Environment,2011

3. A skin detection approach based on the Dempster–Shafer theory of evidence;M Shoyaiba;International Journal of Approximate Reasoning,2012

4. Approximate pairwise clustering for large data sets via sampling plus extension;L Wang;Pattern Recognition,2011

5. Segmentation of pictures into regions with a tile-by-tile method;JD Browning;Pattern Recognition,1982

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1. A two-stage density clustering algorithm;Soft Computing;2020-05-26

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