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IEEE/ICACT20230066 Slide.12        [Big Slide]       [YouTube]	Oral Presentation
	The multimodal method is as follows. First, 1D features are extracted using 1D convolution, 2D features are extracted using 2D convolution, and feature vectors from each network are combined through simple feature concatenation. Then, by adding a fully connected layer, the multimodal method is performed by learning all parameters using a loss function.

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