5 citations · 10 across the 4 of their papers we have counts for
5 papers
Neural Disjunctive Normal Forms for Learning Exact Rank Filters
Diego Marcondes, Wonder A. L. Alves, Ronaldo F. Hashimoto
Gradient-based learning of morphological operators is hindered by locally sparse derivatives with respect to the structuring elements. We develop a method for learning rank filters…
Random test functions, norm equivalence, and stochastic variational physics-informed neural networks
Diego Marcondes
The dual norm characterisation of weak solutions of second-order linear elliptic partial differential equations is mathematically natural but computationally intractable: evaluatin…
The Lattice Overparametrization Paradigm for the Machine Learning of Lattice Operators
Diego Marcondes, Junior Barrera
The machine learning of lattice operators has three possible bottlenecks. From a statistical standpoint, it is necessary to design a constrained class of operators based on prior i…
An Algorithm to Train Unrestricted Sequential Discrete Morphological Neural Networks
Diego Marcondes, Mariana Feldman, Junior Barrera
There have been attempts to insert mathematical morphology (MM) operators into convolutional neural networks (CNN), and the most successful endeavor to date has been the morphologi…
Discrete Morphological Neural Networks
Diego Marcondes, Junior Barrera
A classical approach to designing binary image operators is Mathematical Morphology (MM). We propose the Discrete Morphological Neural Networks (DMNN) for binary image analysis to…