Technical Program

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
 
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
 
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
 
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
 
SiG-DML_P1.4: PROBABILISTIC ULTRA-WIDEBAND TDOA LOCALIZATION WITH BIAS CORRECTION
Felix Vollmer, Jan Graßhoff, Philipp Rostalski, Fraunhofer, Germany
 
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
 
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
 
SiG-DML_P1.7: USING THE PROJECTED BELIEF NETWORK AT HIGH DIMENSIONS
Paul Baggenstoss, Fraunhofer FKIE, Germany; Frank Kurth, Fraunhofer, Germany