3 papers
cs.LG2021
Least-Squares Linear Dilation-Erosion Regressor Trained using a Convex-Concave Procedure
Angelica Lourenço Oliveira, Marcos Eduardo Valle
This paper presents a hybrid morphological neural network for regression tasks called linear dilation-erosion regressor (-DER). An -DER is given by a convex combination…
cs.LG2020
Linear Dilation-Erosion Perceptron Trained Using a Convex-Concave Procedure
Angelica Lourenço Oliveira, Marcos Eduardo Valle
Mathematical morphology (MM) is a theory of non-linear operators used for the processing and analysis of images. Morphological neural networks (MNNs) are neural networks whose neur…
cs.LG2020
Linear Dilation-Erosion Perceptron for Binary Classification
Angelica Lourenço Oliveira, Marcos Eduardo Valle
In this work, we briefly revise the reduced dilation-erosion perceptron (r-DEP) models for binary classification tasks. Then, we present the so-called linear dilation-erosion perce…