This repository contains a MATLAB implementation of the Gradient Descent algorithm to minimize a simple quadratic function. The function being minimized is ( f(x) = (x - 3)^2 ), with its minimum ...

Like the derivative of a function in 1d, the gradient of a function on a surface is linear. This means there is a sparse matrix G such that, for a per-vertex function u, Gu is the piecewise constant ...

A special kind of recurrent neural networks (RNN), i.e., Zhang neural networks (ZNN), has recently been proposed for online time-varying problems solving. In this paper, we generalize and investigate ...

We present, in this paper, a new methodology for spectral unmixing, where a vector of fractions, corresponding to a set of endmembers (EMs), is estimated for each pixel in the image. The process first ...