EURASIP Journal on Image and Video Processing

Table 5 Comparisons of feature selection algorithms on UCF10 ←AID 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	0.4340	0.4448	0.4715	0.4355	0.4340	0.4348	*0.5061*	0.5299
LSR	0.2906	0.3136	0.3043	0.3057	0.3028	0.3064	*0.3180*	0.3302
MCkNN	0.3360	0.3684	0.3670	0.3360	0.3360	0.3381	*0.3756*	0.4001

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