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. 2017 Feb 21;17(2):414. doi: 10.3390/s17020414

Figure 9.

Figure 9

Principal component analysis (PCA) of the experimental data and learned features: (a) Data-level fused input data of the proposed method; (b) Features of the proposed method; (c) Feature-level fused features learned through DCNN; and (d) Feature-level fused handcraft features.