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Number of items: 5.

Binder, P. and Muma, M. and Zoubir, A. M. (2018):
Gravitational Clustering: A Simple, Robust and Adaptive Approach for Distributed Networks.
In: Signal Processing, pp. 36-48, 149, ISSN 0165-1684,
DOI: 10.1016/j.sigpro.2018.02.034,
[Online-Edition: https://www.sciencedirect.com/science/article/pii/S016516841...],
[Article]

Binder, P. and Muma, M. and Zoubir, A. M. (2016):
Robust and Adaptive Diffusion-based Classification in Distributed Networks.
In: EURASIP Journal on Advances in Signal Processing: Advances in adaptive filtering theory and applications to acoustic and speech signal processing, [Article]

Binder, P. and Muma, M. and Zoubir, A. M. (2016):
Robust and Adaptive Diffusion-based Classification in Distributed Networks.
In: EURASIP Journal on Advances in Signal Processing: Advances in adaptive filtering theory and applications to acoustic and speech signal processing, pp. 1-13, 2016, (1), [Online-Edition: http://link.springer.com/article/10.1186/s13634-016-0331-5],
[Article]

Binder, P. and Muma, M. and Zoubir, A. M. (2015):
Robust and Computationally Efficient Diffusion-Based Classification in Distributed Networks.
In: In Proc. 40th IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, [Conference or Workshop Item]

Teklehaymanot, F. K. and Muma, M. and Béjar-Haro, B. and Binder, P. and Zoubir, A. M. and Vetterli, M. (2015):
Robust Diffusion-Based Unsupervised Object Labelling in Distributed Camera Networks.
In: In Proc. 12th IEEE AFRICON, [Conference or Workshop Item]

This list was generated on Sat Jun 15 01:09:27 2019 CEST.