Sara Akodad

Orcid: 0000-0002-9553-4034

According to our database1, Sara Akodad authored at least 9 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
AI4GEO: LOD0 Generation for 3D building models.
Proceedings of the Joint Urban Remote Sensing Event, 2023

A Gaussian mixture model with multiple tangent planes.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
Remote Sensing Scene Classification Based on Covariance Pooling of Multi-layer CNN Features Guided by Saliency Maps.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2022

Deep Ensemble Learning Model Based on Covariance Pooling of Multi-Layer CNN Features.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
Ensemble learning methods on the space of covariance matrices : application to remote sensing scene and multivariate time series classification. (Méthodes d'ensemble sur l'espace des matrices de covariance : application à la classification de scènes de télédétection et de séries temporelles multivariées).
PhD thesis, 2021

2020
Ensemble Learning Approaches Based on Covariance Pooling of CNN Features for High Resolution Remote Sensing Scene Classification.
Remote. Sens., 2020

Cluster Kernel For Learning Similarities Between Symmetric Positive Definite Matrix Time Series.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
An ensemble learning approach for the classification of remote sensing scenes based on covariance pooling of CNN features.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Image classification based on log-Euclidean Fisher Vectors for covariance matrix descriptors.
Proceedings of the Eighth International Conference on Image Processing Theory, 2018


  Loading...