TY - GEN
T1 - Multimodal Learning for Classification of Solar Radio Spectrum
AU - Chen, Zhuo
AU - Ma, Lin
AU - Xu, Long
AU - Weng, Ying
AU - Yan, Yihua
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/1/12
Y1 - 2016/1/12
N2 - This paper proposes the first attempt to utilize multi-modal learning method for the representation learning of the solar radio spectrums. The solar radio signals sensed from differ-ent frequency channels, which present different characteristics, are regarded as different modalities. We employ a multimodal neural network to learn the representations of the solar radio spectrum, which can distinguish the differences and learn the interactions between different modalities. The original solar ra-dio spectrums are firstly pre-processed, including normalization, denoising, channel competition and etc., before being fed into the multimodal learning network. Experimental results have demon-strated that the proposed multimodal learning network can learn the representation of the solar radio spectrum more effectively, and improve the classification accuracy.
AB - This paper proposes the first attempt to utilize multi-modal learning method for the representation learning of the solar radio spectrums. The solar radio signals sensed from differ-ent frequency channels, which present different characteristics, are regarded as different modalities. We employ a multimodal neural network to learn the representations of the solar radio spectrum, which can distinguish the differences and learn the interactions between different modalities. The original solar ra-dio spectrums are firstly pre-processed, including normalization, denoising, channel competition and etc., before being fed into the multimodal learning network. Experimental results have demon-strated that the proposed multimodal learning network can learn the representation of the solar radio spectrum more effectively, and improve the classification accuracy.
KW - Multimodal learning; solar radio astronomy
KW - solar radio spectrum; classification
UR - http://www.scopus.com/inward/record.url?scp=84964452152&partnerID=8YFLogxK
U2 - 10.1109/SMC.2015.187
DO - 10.1109/SMC.2015.187
M3 - Conference contribution
AN - SCOPUS:84964452152
T3 - Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015
SP - 1035
EP - 1040
BT - Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015
Y2 - 9 October 2015 through 12 October 2015
ER -