Nicolas Auguin

According to our database, Nicolas Auguin authored at least 9 papers between 2013 and 2021.

Collaborative distances:

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

2021

Large-Dimensional Characterization of Robust Linear Discriminant Analysis.

Nicolas Auguin, David Morales-Jiménez, Matthew R. McKay

IEEE Trans. Signal Process., 2021

2019

Robust Linear Discriminant Analysis Using Tyler's Estimator: Asymptotic Performance Characterization.

Nicolas Auguin, David Morales-Jiménez, Matthew R. McKay

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Large-Dimensional Behavior of Regularized Maronna's M-Estimators of Covariance Matrices.

Nicolas Auguin, David Morales-Jiménez, Matthew R. McKay, Romain Couillet

IEEE Trans. Signal Process., 2018

2017

Exact Statistical Characterization of 2×2 Gram Matrices with Arbitrary Variance Profile.

Nicolas Auguin, David Morales-Jiménez, Matthew R. McKay

IEEE Trans. Veh. Technol., 2017

Exact Statistical Characterization of $2\times2$ Gram Matrices with Arbitrary Variance Profile.

Nicolas Auguin, David Morales-Jiménez, Matthew R. McKay

CoRR, 2017

2016

Robust shrinkage M-estimators of large covariance matrices.

Nicolas Auguin, David Morales-Jiménez, Matthew R. McKay, Romain Couillet

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

2014

Co-Training for Classification of Live or Studio Music Recordings.

Nicolas Auguin, Pascale Fung

Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

2013

Multimodal music emotion classification using AdaBoost with decision stumps.

Dan Su, Pascale Fung, Nicolas Auguin

Proceedings of the IEEE International Conference on Acoustics, 2013

Identification of live or studio versions of a song via supervised learning.

Nicolas Auguin, Shilei Huang, Pascale Fung

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013