Search Results for author: Leonardo F. S. Scabini

Found 5 papers, 2 papers with code

Structure and Performance of Fully Connected Neural Networks: Emerging Complex Network Properties

1 code implementation29 Jul 2021 Leonardo F. S. Scabini, Odemir M. Bruno

Results show that these measures are highly related to the network classification performance.

Learning Local Complex Features using Randomized Neural Networks for Texture Analysis

no code implementations10 Jul 2020 Lucas C. Ribas, Leonardo F. S. Scabini, Jarbas Joaci de Mesquita Sá Junior, Odemir M. Bruno

Experimental results show a high classification performance of the proposed method when compared to other methods, indicating that our approach can be used in many image analysis problems.

Attribute Texture Classification

Spatio-spectral networks for color-texture analysis

1 code implementation13 Sep 2019 Leonardo F. S. Scabini, Lucas C. Ribas, Odemir M. Bruno

Texture is one of the most-studied visual attribute for image characterization since the 1960s.

Attribute Texture Classification

Fusion of complex networks and randomized neural networks for texture analysis

no code implementations24 Jun 2018 Lucas C. Ribas, Jarbas J. M. Sa Junior, Leonardo F. S. Scabini, Odemir M. Bruno

This paper presents a high discriminative texture analysis method based on the fusion of complex networks and randomized neural networks.

Texture Classification

Cannot find the paper you are looking for? You can Submit a new open access paper.