# Table 1 Notations related to loss terms.

 L Total loss to be used in training $$L_{S}$$ Summed cross-entropy loss with a softmax function from three hierarchies $$L_{S_{i}}$$ Cross-entropy loss with a softmax function from hierarchy level i where $$i \in \{cls, fam, sub\}$$ $$L_{C}$$ Summed center loss from three hierarchies $$L_{C_{i}}$$ Center loss from hierarchy level i $$d(x_i)$$ Embedding vector in the hidden layer for input sequence $$x_i$$ $$\mu _{y_i}$$ Class center of embedding vectors in deep feature space for class that input $$x_i$$ belongs to