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My ICASSP 2013 Schedule

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Paper Detail

Paper:.4
Session:Learning Theory and Algorithms II
Session Time:Wednesday, May 29, 15:20 - 17:20
Presentation Time:Wednesday, May 29, 15:20 - 17:20
Presentation: Poster
Topic: Machine Learning for Signal Processing: Bayesian learning; Bayesian signal processing (MLR-BAYL)
Paper Title: MAP-BASED ESTIMATION OF THE PARAMETERS OF A GAUSSIAN MIXTURE MODEL IN THE PRESENCE OF NOISY OBSERVATIONS
Authors: Aleksej Chinaev; University of Paderborn 
 Reinhold Haeb-Umbach; University of Paderborn