17 citations · 18 across the 2 of their papers we have counts for
6 papers
Ensemble of Binary Classifiers Combined Using Recurrent Correlation Associative Memories
Rodolfo Anibal Lobo, Marcos Eduardo Valle
An ensemble method should cleverly combine a group of base classifiers to yield an improved classifier. The majority vote is an example of a methodology used to combine classifiers…
Reduced Dilation-Erosion Perceptron for Binary Classification
Marcos Eduardo Valle
Dilation and erosion are two elementary operations from mathematical morphology, a non-linear lattice computing methodology widely used for image processing and analysis. The dilat…
Quaternion-Valued Recurrent Projection Neural Networks on Unit Quaternions
Marcos Eduardo Valle, Rodolfo Anibal Lobo
Hypercomplex-valued neural networks, including quaternion-valued neural networks, can treat multi-dimensional data as a single entity. In this paper, we present the quaternion-valu…
An Introduction to Quaternion-Valued Recurrent Projection Neural Networks
Marcos Eduardo Valle, Rodolfo Anibal Lobo
Hypercomplex-valued neural networks, including quaternion-valued neural networks, can treat multi-dimensional data as a single entity. In this paper, we introduce the quaternion-va…
A Broad Class of Discrete-Time Hypercomplex-Valued Hopfield Neural Networks
Fidelis Zanetti de Castro, Marcos Eduardo Valle
In this paper, we address the stability of a broad class of discrete-time hypercomplex-valued Hopfield-type neural networks. To ensure the neural networks belonging to this class a…
Max-C and Min-D Projection Autoassociative Fuzzy Morphological Memories: Theory and an Application for Face Recognition
Alex Santana dos Santos, Marcos Eduardo Valle
Max-C and min-D projection autoassociative fuzzy morphological memories (max-C and min-D PAFMMs) are two layer feedforward fuzzy morphological neural networks able to implement an…