The affine rank minimization problem consists of finding a matrix of minimum rank that satisfies a given system of linear equality constraints. Such problems have appeared in the literature of a ...

Matrix factorization algorithms help track neuronal activity They then excited the beads using blue laser light and collected the resulting fluorescence speckles using first a microscope objective and ...

Kun Chen, Kung-Sik Chan, Nils Chr. Stenseth, Reduced rank stochastic regression with a sparse singular value decomposition, Journal of the Royal Statistical Society.