Technical Program

SPTM-L2: Data Driven Methods

Session Type: Lecture
Time: Monday, March 6, 13:30 - 15:30
Location: Grand Salon 4
Session Chair: Ana Perez Neira, UPC, Spain
 
SPTM-L2.1: AN ENGINEER'S GUIDE TO PARTICLE FILTERING ON THE STIEFEL MANIFOLD
         Goran Marjanovic; University of New South Wales
         Victor Solo; University of New South Wales
 
SPTM-L2.2: BAYESIAN-DRIVEN CRITERION TO AUTOMATICALLY SELECT THE REGULARIZATION PARAMETER IN THE L1-POTTS MODEL
         Jordan Frecon; Université de Lyon
         Nelly Pustelnik; Université de Lyon
         Nicolas Dobigeon; Université de Toulouse
         Herwig Wendt; Université de Toulouse
         Patrice Abry; Université de Lyon
 
SPTM-L2.3: SEQUENTIAL MCMC WITH INVERTIBLE PARTICLE FLOW
         Yunpeng Li; McGill University
         Mark J. Coates; McGill University
 
SPTM-L2.4: MULTIPLE PARTICLE FILTERING FOR INFERENCE IN THE PRESENCE OF STATE CORRELATION OF UNKNOWN MIXING PARAMETERS
         Iñigo Urteaga; Stony Brook University
         Mónica F. Bugallo; Stony Brook University
         Petar M. Djurić; Stony Brook University
 
SPTM-L2.5: NONPARAMETRIC LEARNING FOR HIDDEN MARKOV MODELS WITH PREFERENTIAL ATTACHMENT DYNAMICS
         Asher Hensley; Stony Brook University
         Petar M. Djurić; Stony Brook University
 
SPTM-L2.6: HERETICAL MULTIPLE IMPORTANCE SAMPLING
         Victor Elvira; Telecom Lille (Institut Lille-Telecom)
         Luca Martino; Universidad de Valencia
         David Luengo; Universidad Politecnica de Madrid
         Mónica F. Bugallo; Stony Brook University