The joint bidiagonalization (JBD) process iteratively reduces a matrix pair to two bidiagonal forms simultaneously, which can be used for computing a partial generalized singular value decomposi…
With the recent advancement of deep convolutional neural networks, significant progress has been made in general face recognition. However, the state-of-the-art general face recognition models do n…
The joint bidiagonalization (JBD) method has been used to compute some extreme generalized singular values and vectors of a large regular matrix pair . We make a numerical analysis of the underlyi…