We define the adapted embedding matrix as the factorization S • E, where S ∈ R s×e , with s e. We estimate the parameters of the matrix S using the labeled dataset, while E is kept fixed.
we determine the optimal projection of the embedding matrix E into a sub-space of dimension s. The idea of embedding sub-space rests on two fundamental principles: 1.