3 papers
cs.LG2026
Fourier fractal dimension to predict the generalization of deep neural networks
Joao B. Florindo, Davi Wanderley Misturini
Predicting the generalization performance of deep neural networks without relying on hold-out validation data is a fundamental challenge in machine learning. While Stochastic Gradi…
cs.CV2026
Deep neural networks with Fisher vector encoding for medical image classification
Lucas O. Lyra, Antonio E. Fabris, Joao B. Florindo
Orderless encoding methods have shown to improve Convolutional Neural Networks (CNNs) for image classification in the context of limited availability of data. Additionally, hybrid…
cs.CV2025
Approximating Condorcet Ordering for Vector-valued Mathematical Morphology
Marcos Eduardo Valle, Santiago Velasco-Forero, Joao Batista Florindo +1
Mathematical morphology provides a nonlinear framework for image and spatial data processing and analysis. Although there have been many successful applications of mathematical mor…