Red tide algae classification using SVM-SNP and semi-supervised FCM

In this paper, a novel approach for classifying algal images was presented, which is used in flow-cytometry-based real-time red tide monitoring system. Firstly, an ensemble of support vector machines (SVMs) was trained and the test samples were labeled by them based on the summation of negative prob...

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Veröffentlicht in:	2010 2nd International Conference on Education Technology and Computer Jg. 1; S. V1-389 - V1-392
Hauptverfasser:	Lili Xu, Tao Jiang, Jiezhen Xie, Shaoping Zheng
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2010
Schlagworte:	Algae classifier Clustering algorithms fuzzy c-means (FCM) Image classification Kernel Monitoring Real time systems red tide alga Support vector machine classification Support vector machines SVM-SNP Testing Tides
ISBN:	9781424463671, 142446367X
ISSN:	2155-1812
Online-Zugang:	Volltext
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