7 citations · 8 across the 5 of their papers we have counts for
5 papers
Is the U-Net Directional-Relationship Aware?
Mateus Riva, Pietro Gori, Florian Yger +1
CNNs are often assumed to be capable of using contextual information about distinct objects (such as their directional relations) inside their receptive field. However, the nature…
Template-Based Graph Clustering
Mateus Riva, Florian Yger, Pietro Gori +2
We propose a novel graph clustering method guided by additional information on the underlying structure of the clusters (or communities). The problem is formulated as the matching…
Approximation of dilation-based spatial relations to add structural constraints in neural networks
Mateus Riva, Pietro Gori, Florian Yger +2
Spatial relations between objects in an image have proved useful for structural object recognition. Structural constraints can act as regularization in neural network training, imp…
A Structural Graph-Based Method for MRI Analysis
Larissa de O. Penteado, Mateus Riva, Roberto M. Cesar
The importance of imaging exams, such as Magnetic Resonance Imaging (MRI), for the diagnostic and follow-up of pediatric pathologies and the assessment of anatomical structures' de…
An incremental linear-time learning algorithm for the Optimum-Path Forest classifier
Moacir Ponti, Mateus Riva
We present a classification method with incremental capabilities based on the Optimum-Path Forest classifier (OPF). The OPF considers instances as nodes of a fully-connected traini…