Cédrick Bamba Nsimba

According to our database, Cédrick Bamba Nsimba authored at least 4 papers between 2019 and 2020.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2020

Exploring Information Theory and Gaussian Markov Random Fields for Color Texture Classification.

Cédrick Bamba Nsimba, Alexandre L. M. Levada

Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020

Combining Deep and Manifold Learning For Nonlinear Feature Extraction in Texture Images.

Cédrick Bamba Nsimba, Alexandre L. M. Levada

Proceedings of the 28th European Signal Processing Conference, 2020

2019

An information-theoretic wavelet-based texture descriptor using Gaussian Markov random field models.

Cédrick Bamba Nsimba, Alexandre L. M. Levada

Multim. Tools Appl., 2019

Nonlinear Dimensionality Reduction in Texture Classification: Is Manifold Learning Better Than PCA?

Cédrick Bamba Nsimba, Alexandre L. M. Levada

Proceedings of the Computational Science - ICCS 2019, 2019