SiG-DML_P1: Bayesian Learning and Signal Processing |
Session Type: Poster |
Time: Tuesday, August 30, 14:10 - 15:50 |
Location: Poster Area 2 |
Session Chair: Jelena Ćertić, University of Belgrade
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SiG-DML_P1.1: MESSAGE PASSING-BASED INFERENCE IN SWITCHING AUTOREGRESSIVE MODELS |
Albert Podusenko, Bart van Erp, Dmitry Bagaev, Ismail Senoz, Bert de Vries, Eindhoven University of Technology, Netherlands |
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SiG-DML_P1.2: INCREMENTAL LEARNING THROUGH PROBABILISTIC BEHAVIOR PREDICTION |
Sheida Nozari, Ali Krayani, Lucio Marcenaro, Carlo Regazzoni, University of Genoa, Italy; David Martin, University Carlos III of Madrid, Spain |
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SiG-DML_P1.3: POLYGONAL SHAPES RECONSTRUCTION FROM ACOUSTIC ECHOES USING A MOBILE SENSOR AND BEAMFORMING |
Othmane-Latif Ouabi, Cédric Pradalier, International Research Lab 2958 Georgia Tech-CNRS, France; Jiawei Yi, Nico F. Declercq, Georgia Institute of Technology, United States; Neil Zeghidour, Matthieu Geist, Google Brain, France |
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SiG-DML_P1.4: PROBABILISTIC ULTRA-WIDEBAND TDOA LOCALIZATION WITH BIAS CORRECTION |
Felix Vollmer, Jan Graßhoff, Philipp Rostalski, Fraunhofer, Germany |
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SiG-DML_P1.5: GAUSSIAN PROCESS-BASED AMORTIZATION OF VARIATIONAL MESSAGE PASSING UPDATE RULES |
Hoang Nguyen, Semih Akbayrak, Magnus Koudahl, Bert Vries, Eindhoven University of Technology, Netherlands |
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SiG-DML_P1.6: OPTIMAL BAYESIAN REGRESSION FOR SERIALLY DEPENDENT TRAINING OBSERVATIONS |
Samira Reihanian, Nazarbayev University, Kazakhstan; Amin Zollanvari, School of Engineering and Digital Sciences, Nazarbayev University, Kazakhstan |
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SiG-DML_P1.7: USING THE PROJECTED BELIEF NETWORK AT HIGH DIMENSIONS |
Paul Baggenstoss, Fraunhofer FKIE, Germany; Frank Kurth, Fraunhofer, Germany |
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