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A novel classification technique based on progressive transductive SVM learning.
- 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