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 |