Nicolas Auguin

Publication Activity (10 Years)

Years Active: 2013-2021
Publications (10 Years): 6

Top Topics

Class Separability

Decision Stumps

Music Emotion Classification

Linear Discriminant

Top Venues

IEEE Trans. Signal Process.

Publications

Nicolas Auguin, David Morales-Jiménez, Matthew R. McKay
Large-Dimensional Characterization of Robust Linear Discriminant Analysis. IEEE Trans. Signal Process. 69 (2021)
Nicolas Auguin, David Morales-Jiménez, Matthew R. McKay
Robust Linear Discriminant Analysis Using Tyler's Estimator: Asymptotic Performance Characterization. ICASSP (2019)
Nicolas Auguin, David Morales-Jiménez, Matthew R. McKay, Romain Couillet
Large-Dimensional Behavior of Regularized Maronna's M-Estimators of Covariance Matrices. IEEE Trans. Signal Process. 66 (13) (2018)
Nicolas Auguin, David Morales-Jiménez, Matthew R. McKay
Exact Statistical Characterization of $2\times2$ Gram Matrices with Arbitrary Variance Profile. CoRR (2017)
Nicolas Auguin, David Morales-Jiménez, Matthew R. McKay
Exact Statistical Characterization of 2×2 Gram Matrices with Arbitrary Variance Profile. IEEE Trans. Veh. Technol. 66 (9) (2017)
Nicolas Auguin, David Morales-Jiménez, Matthew R. McKay, Romain Couillet
Robust shrinkage M-estimators of large covariance matrices. SSP (2016)
Nicolas Auguin, Pascale Fung
Co-Training for Classification of Live or Studio Music Recordings. LREC (2014)
Nicolas Auguin, Shilei Huang, Pascale Fung
Identification of live or studio versions of a song via supervised learning. APSIPA (2013)
Dan Su, Pascale Fung, Nicolas Auguin
Multimodal music emotion classification using AdaBoost with decision stumps. ICASSP (2013)