In this paper, we propose a reconfigurable hardware accelerator for fixed-point-matrix-vector-multiply/add operations, capable to work on dense and sparse matrices formats. The pr...
New techniques, both theoretical and practical, are presented for constructing a permutation representation for a matrix group. We assume that the resulting permutation degree, n,...
Gene Cooperman, Larry Finkelstein, Bryant W. York,...
We present a pivot-free deterministic algorithm for the inversion of block matrices. The method is based on the Moore-Penrose inverse and is applicable over certain general classe...
In this paper, the geometry of a general class of projections from ??? to ?! is examined, as a generalization of classic multiple view geometry in computer vision. It is shown that...
Probabilistic matrix factorization (PMF) is a powerful method for modeling data associated with pairwise relationships, finding use in collaborative filtering, computational biolo...