Abstract
Locally competitive algorithm(LCA) solves a collection of sparse coding principles minimizing a weighted combination of mean squared error (MSE) and a coefficient cost function. LCAs are designed to be implemented in a dynamical system composed of many neuron like elements operating in parallel. These algorithms use thresholding functions to induce local (usually one way) inhibitory competitions between nodes to produce sparse representations.
Date
Jul 15, 2020 11:00 AM
Location
Zoom Meet, AIPHL Lab