human action recognition using cnn svm model

Keyword Analysis

Keyword	CPC	PCC	Volume	Score	Length of keyword
human action recognition using cnn svm model	1.37	0.3	2411	50	44
human	0.7	0.4	1681	61	5
action	1.47	0.3	3669	82	6
recognition	1.08	0.1	7997	14	11
using	1.62	0.4	1262	80	5
cnn	0.7	0.9	4483	60	3
svm	1.87	0.2	1887	26	3
model	1.89	0.2	9386	49	5

Keyword	CPC	PCC	Volume	Score
human action recognition using cnn-svm model	1.82	0.1	1477	100
face recognition using cnn and svm	1.58	0.1	6632	49
human action recognition using cnn	0.04	0.4	97	53
faster human activity recognition with svm	1.31	0.3	9518	15
human activity recognition using cnn & lstm	0.55	0.5	7837	10
cnn + svm	1.32	1	9024	44
face recognition using svm	1.06	0.4	4048	32
handwritten recognition using svm	1.35	0.2	46	14
cnn and svm for image classification	1.32	0.9	7667	74
svm+cnn	1.08	0.7	9453	79
skin disease detection using cnn and svm	0.68	0.1	7740	54
svm algorithm vs cnns	0.52	0.4	4568	60
svm for face recognition	1.87	0.8	4444	49
svm vs cnn for image classification	1.84	0.6	4971	27
ssa-cnn-svm	1.9	0.6	4653	57
cnn-svm	0.79	0.2	7989	32