Name
Title | ||
|---|---|---|
About the Equivalence Between Complex-Valued and Real-Valued Fully Connected Neural Networks - Application to Polinsar Images |
Abstract | ||
|---|---|---|
In this paper we provide an exhaustive statistical comparison between Complex-Valued MultiLayer Perceptron (CV-MLP) and Real-Valued MultiLayer Perceptron (RV-MLP) on Oberpfaffenhofen Polarimetric and Interferometric Synthetic Aperture Radar (PolInSAR) database. In order to compare both networks in a fair manner, the need to define the equivalence between the models arises. A novel definition for a... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/MLSP52302.2021.9596542 | 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP) |
Keywords | DocType | ISSN |
Databases,Conferences,Neural networks,Machine learning,Multilayer perceptrons,Signal processing,Synthetic aperture radar | Conference | 2161-0363 |
ISBN | Citations | PageRank |
978-1-7281-6338-3 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. A. Barrachina | 1 | 0 | 0.34 |
| Chengfang Ren | 2 | 27 | 7.23 |
| G. Vieillard | 3 | 0 | 0.34 |
| C. Morisseau | 4 | 0 | 0.34 |
| Jean Philippe Ovarlez | 5 | 190 | 25.11 |