Kenji Nose Filho

According to our database, Kenji Nose Filho authored at least 12 papers between 2012 and 2024.

Collaborative distances:

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

2024

Exploring bounded component analysis using an ℓ∞ norm criterion.

Renan D. B. Brotto, Kenji Nose Filho, João M. T. Romano

Digit. Signal Process., 2024

Debiasing Machine Learning Models by Using Weakly Supervised Learning.

Renan D. B. Brotto, Jean-Michel Loubes, Laurent Risser, Jean-Pierre Florens, Kenji Nose Filho, João M. T. Romano

CoRR, 2024

2023

Algorithms for Sparse Multichannel Blind Deconvolution.

Kenji Nose Filho, Renato Rocha Lopes, Renan D. B. Brotto, Thonia C. Senna, João M. T. Romano

IEEE Trans. Geosci. Remote. Sens., 2023

2018

Improving Sparse Multichannel Blind Deconvolution with Correlated Seismic Data: Foundations and Further Results.

Kenji Nose Filho, André K. Takahata, Renato Rocha Lopes, João Marcos Travassos Romano

IEEE Signal Process. Mag., 2018

2017

Low-Rank Decomposition Based on Disjoint Component Analysis With Applications in Seismic Imaging.

Kenji Nose Filho, João Marcos Travassos Romano

IEEE Trans. Computational Imaging, 2017

On Minimum Entropy Deconvolution of Bi-level Images.

Kenji Nose Filho, André K. Takahata, Ricardo Suyama, Renato Rocha Lopes, João M. T. Romano

Proceedings of the Latent Variable Analysis and Signal Separation, 2017

On Disjoint Component Analysis.

Kenji Nose Filho, Leonardo Tomazeli Duarte, João Marcos Travassos Romano

Proceedings of the Latent Variable Analysis and Signal Separation, 2017

2016

Adaptive sparse linear prediction: A promising tool for blind deconvolution.

Kenji Nose Filho, João M. T. Romano

Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

2014

On ℓp -norm sparse blind deconvolution.

Kenji Nose Filho, João Marcos Travassos Romano

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Sparse blind deconvolution based on scale invariant smoothed ℓ0-norm.

Kenji Nose Filho, Christian Jutten, João Marcos Travassos Romano

Proceedings of the 22nd European Signal Processing Conference, 2014

2013

Error entropy criterion in echo state network training.

Levy Boccato, Daniel G. Silva, Denis G. Fantinato, Kenji Nose Filho, Rafael Ferrari, Romis Attux, Aline Neves, Jugurta Montalvão, João Marcos Travassos Romano

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012

Seismic wave separation by means of robust principal component analysis.

Leonardo Tomazeli Duarte, Everton Z. Nadalin, Kenji Nose Filho, Ricardo Antonio Zanetti, João M. T. Romano, Martin Tygel

Proceedings of the 20th European Signal Processing Conference, 2012