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A novel classification technique based on progressive transductive SVM learning.

Authors :
Singla, Anshu
Patra, Swarnajyoti
Bruzzone, Lorenzo
Source :
Pattern Recognition Letters. Jun2014, Vol. 42, p101-106. 6p.
Publication Year :
2014

Abstract

Highlights: [•] A novel classification technique based on transductive SVM learning is presented. [•] The paper pointed out the drawbacks of the existing literature methods. [•] To mitigate drawbacks, here we exploit SVM, k-nn classifiers and cluster assumption. [•] Results were compared with two other TSVM methods existing in the literature. [•] Experimental results confirmed the effectiveness of the proposed technique. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
01678655
Volume :
42
Database :
Academic Search Index
Journal :
Pattern Recognition Letters
Publication Type :
Academic Journal
Accession number :
95216017
Full Text :
https://doi.org/10.1016/j.patrec.2014.02.003