TMTSP-L2.2
On the Ratio-of-Means Surrogate for Multiple Importance Sampling Weight Optimization
Mateu Sbert, University of Girona, Spain; Víctor Elvira, University of Edinburgh, United Kingdom; Teresa González-Arteaga, University of Valladolid, Spain
Session:
Tracking and Filtering Lecture
Track:
9: TMTSP - Theoretical and Methodological Trends in Signal Processing
Location:
Concert Hall
Session Time:
Tue, 1 Sep, 14:00 - 15:40
Presentation Time:
Tue, 1 Sep, 14:20 - 14:40
Session Chair:
Tirza Routtenberg, Ben-Gurion University of the Negev
Presentation
Discussion
Session TMTSP-L2
TMTSP-L2.1: BRIDGING PHD AND PMB(M): FUSION OF RANDOM FINITE SET MULTI-TARGET FILTERS
Jan Kimr, Kamil Dedecius, Czech Technical University in Prague, Czech Republic
TMTSP-L2.2: On the Ratio-of-Means Surrogate for Multiple Importance Sampling Weight Optimization
Mateu Sbert, University of Girona, Spain; Víctor Elvira, University of Edinburgh, United Kingdom; Teresa González-Arteaga, University of Valladolid, Spain
TMTSP-L2.3: Augmented Complex-Valued Bilinear Kalman Filter
Bernhard Plaimer, Matthias Wagner, Oliver Lang, Mario Huemer, Johannes Kepler University, Austria
TMTSP-L2.4: ADAPTIVE HAMILTONIAN MONTE CARLO-ENHANCED ACTIVE SUBSPACE PARTICLE FILTER
Nahid Shirdel Abdolmaleki, Stony Brook University, United States; Joaquin Miguez, Universidad Carlos III de Madrid, Spain; Petar M. Djuric, Stony Brook University, United States
TMTSP-L2.5: TRACK-BEFORE-DETECT FOR SINGLE-PHOTON LIDAR HISTOGRAMS VIA RAO–BLACKWELLISED SEQUENTIAL BAYESIAN INFERENCE
Mohamed Amir Alaa Belmekki, Simon Maskell, University Of Liverpool, United Kingdom; Stephen McLaughlin, Abderrahim Halimi, Heriot-Watt University, United Kingdom
Resources
No resources available.