SPTM-P5: Bayesian Signal Processing II |
Session Type: Poster |
Time: Wednesday, May 15, 13:30 - 15:30 |
Location: Poster Area J, West Bar, First Floor |
Session Chair: Antonia Papandreou-Suppappola, Arizona State University |
SPTM-P5.1: LABELLED NON-ZERO PARTICLE FLOW FOR SMC-PHD FILTERING |
Manuscript Link: Click here to view manuscript on IEEE Xplore |
Yang Liu; University of Surrey |
Qinghua Hu; Tianjin University |
Yuexian Zou; Peking University Shenzhen Graduate School |
Wenwu Wang; University of Surrey |
SPTM-P5.2: A NOVEL PROGRESSIVE GAUSSIAN APPROXIMATE FILTER WITH VARIABLE STEP SIZE BASED ON A VARIATIONAL BAYESIAN APPROACH |
Manuscript Link: Click here to view manuscript on IEEE Xplore |
Mingming Bai; Harbin Engineering University |
YuLong Huang; Harbin Engineering University |
Yonggang Zhang; Harbin Engineering University |
Lyudmila Mihaylova; The University of Sheffield |
Jonathon Chambers; University of Leicester |
SPTM-P5.3: STRUCTURAL RECURRENT NEURAL NETWORK FOR TRAFFIC SPEED PREDICTION |
Manuscript Link: Click here to view manuscript on IEEE Xplore |
Youngjoo Kim; The University of Sheffield |
Peng Wang; The University of Sheffield |
Lyudmila Mihaylova; The University of Sheffield |
SPTM-P5.4: BAYESIAN FUSION OF ASYNCHRONOUS INERTIAL, SPEED AND POSITION DATA FOR OBJECT TRACKING |
Manuscript Link: Click here to view manuscript on IEEE Xplore |
Jiaming Liang; University of Cambridge |
Simon J. Godsill; University of Cambridge |
SPTM-P5.5: RANDOM INFINITE TREE AND DEPENDENT POISSON DIFFUSION PROCESS FOR NONPARAMETRIC BAYESIAN MODELING IN MULTIPLE OBJECT TRACKING |
Manuscript Link: Click here to view manuscript on IEEE Xplore |
Bahman Moraffah; Arizona State University |
Antonia Papandreou-Suppappola; Arizona State University |
SPTM-P5.6: RIEMANN-LANGEVIN PARTICLE FILTERING IN TRACK-BEFORE-DETECT |
Fernando Jose Iglesias Garcia; King Juan Carlos University |
Mélanie Bocquel; Thales Nederland |
Pranab Kumar Mandal; University of Twente |
Antonio G. Marques; King Juan Carlos University |
SPTM-P5.7: ENLLVM: ENSEMBLE BASED NONLINEAR BAYESIAN FILTERING USING LINEAR LATENT VARIABLE MODELS |
Manuscript Link: Click here to view manuscript on IEEE Xplore |
Xiao Lin; University of South Carolina |
Gabriel Terejanu; University of North Carolina at Charlotte |