Joint Binary Neural Network for Multi-label Learning with Applications to Emotion Classification

3 Feb 2018 Huihui He Rui Xia

Recently the deep learning techniques have achieved success in multi-label classification due to its automatic representation learning ability and the end-to-end learning framework. Existing deep neural networks in multi-label classification can be divided into two kinds: binary relevance neural network (BRNN) and threshold dependent neural network (TDNN)... (read more)

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