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Table 4 Comparisons of feature selection algorithms on HMDB13 ←EID in terms of average accuracy using three classifiers when the ratio of labeled video data are set to 5%

From: A feature selection framework for video semantic recognition via integrated cross-media analysis and embedded learning

Classifiers

FF

FSFS

FSNM

LSR21

SVM21

EnFS

JELSR

JCAEL

LMCSVM

0.3032

0.3187

0.3137

0.3117

0.3137

0.3182

0.3387

0.3526

LSR

0.1763

0.2138

0.1898

0.1903

0.1873

0.2003

0.2233

0.2318

MCkNN

0.1898

0.2647

0.2517

0.2582

0.2093

0.2697

0.2737

0.2877