Technical Program

Paper Detail

Paper:MLSP-P4.4
Session:Learning Theory and Algorithms II
Location:Poster Area E
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, Reinhold Haeb-Umbach, University of Paderborn, Germany