GitHub

RandONets - MATLAB Code (J. Comp. Phys). RandONets (Random projection-based Operator Networks) is a MATLAB implementation designed for learning efficiently linear and nonlinear ...

We present a machine learning method based on random projections with Johnson-Lindenstrauss (JL) and/or Rahimi and Recht (2007) Random Fourier Features (RFFN) for efficiently learning linear and ...
IEEE

Robust Dictionary Learning and Sparse Coding With Riemannian Geometry Preserving Method in Symmetric Matrices Inner Product Space

Abstract: Existing Dictionary Learning and Sparse Coding (DLSC) algorithms for Symmetric Positive Definite (SPD) matrices usually adopt Reproducing Kernel Hilbert Space as workspace to perform ...
GitHub

cvxpy (Frobenius) inner product

I want to find the matrix M that maximizes the elementwise inner product of A and M (Frobenius inner product. However, from reading the documentation and from googling, I couldn't find any way to do ...
archive

The Spectral Norm of Random Inner-Product Kernel Matrices

A line drawing of the Internet Archive headquarters building façade. An illustration of a magnifying glass. An illustration of a magnifying glass.
Scientific Research Publishing

Generalized Inversions of Hadamard and Tensor Products for Matrices ()

Institute of Reproducing Kernels, Kiryu, Japan. We shall need the basic theory of reproducing kernels in connection with matrices. We shall fix the minimum requests for our purpose. A simple example ...
Scientific Research Publishing

On the Infinite Products of Matrices ()

Faculty of Science, Helwan University, Helwan, Egypt. National Research Institute of Astronomy and Geophysics, Helwan, Egypt. is used to compute a sequence of iterations whose limit should be the ...