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Farouk Yahaya
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2020 – today
- 2021
- [b1]Farouk Yahaya:
Compressive informed (semi-)non-negative matrix factorization methods for incomplete and large-scale data : with application to mobile crowd-sensing data. (Méthodes étendues de factorisation informée de matrices ou tenseurs (semi-) non-négatifs pour l'analyse de données incomplètes et de grande dimension : Application au traitement de données issues du mobile crowdsensing). University of the Littoral Opal Coast, Dunkerque, France, 2021 - [c3]Farouk Yahaya
, Matthieu Puigt
, Gilles Delmaire
, Gilles Roussel:
Random Projection Streams for (Weighted) Nonnegative Matrix Factorization. ICASSP 2021: 3280-3284 - [c2]Olivier Vu Thanh, Matthieu Puigt
, Farouk Yahaya, Gilles Delmaire
, Gilles Roussel:
In Situ Calibration of Cross-Sensitive Sensors in Mobile Sensor Arrays Using Fast Informed Non-Negative Matrix Factorization. ICASSP 2021: 3515-3519 - 2020
- [i2]Farouk Yahaya, Matthieu Puigt
, Gilles Delmaire, Gilles Roussel:
Gaussian Compression Stream: Principle and Preliminary Results. CoRR abs/2011.05390 (2020)
2010 – 2019
- 2019
- [c1]Farouk Yahaya
, Matthieu Puigt
, Gilles Delmaire
, Gilles Roussel:
How to Apply Random Projections to Nonnegative Matrix Factorization with Missing Entries? EUSIPCO 2019: 1-5 - 2018
- [i1]Farouk Yahaya, Matthieu Puigt
, Gilles Delmaire, Gilles Roussel:
Faster-than-fast NMF using random projections and Nesterov iterations. CoRR abs/1812.04315 (2018) - 2017
- [j2]Farouk Yahaya:
Edge finding in magnetic resonance imaging applications: the calculation of the first order derivative of two dimensional images. Int. J. Appl. Pattern Recognit. 4(3): 226-245 (2017) - 2015
- [j1]Carlo Ciulla, Filip A. Risteski, Dimitar Veljanovski, Ustijana Shikoska Rechkoska, Edmund Adomako, Farouk Yahaya:
A compilation on the contribution of the classic-curvature and the intensity-curvature functional to the study of healthy and pathological MRI of the human brain. Int. J. Appl. Pattern Recognit. 2(3): 213-234 (2015)
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