Encontrado 1 documento, a visualizar página 1 de 1

Speeding Up Optimum-Path Forest Training by Path-cost Propagation

In this paper we present an optimization of the Optimum-Path Forest classifier training procedure, which is based on a theoretical relationship between minimum spanning forest and optimum-path forest for a specific path-cost function. Experiments on public datasets have shown that the proposed approach can obtain similar accuracy to the traditional one but with faster data training.