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2007
159views Robotics» more  RSS 2007»
13 years 9 months ago
Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders
— In probabilistic mobile robotics, the development of measurement models plays a crucial role as it directly influences the efficiency and the robustness of the robot’s perf...
Christian Plagemann, Kristian Kersting, Patrick Pf...
ICRA
2008
IEEE
134views Robotics» more  ICRA 2008»
14 years 1 months ago
An optimal filtering algorithm for non-parametric observation models in robot localization
— The lack of a parameterized observation model in robot localization using occupancy grids requires the application of sampling-based methods, or particle filters. This work ad...
Jose-Luis Blanco, Javier Gonzalez, Juan-Antonio Fe...
QSIC
2008
IEEE
14 years 1 months ago
Fault Localization with Non-parametric Program Behavior Model
Fault localization is a major activity in software debugging. Many existing statistical fault localization techniques compare feature spectra of successful and failed runs. Some a...
Peifeng Hu, Zhenyu Zhang, Wing Kwong Chan, T. H. T...
ECCV
2004
Springer
14 years 27 days ago
Segmentation of Abdominal Aortic Aneurysms with a Non-parametric Appearance Model
This paper presents a new method to segment abdominal aortic aneurysms from CT angiography scans. The outer contour of lumen and thrombus are delineated with independent 3D deforma...
Sílvia Delgado Olabarriaga, Marcel Breeuwer...
TSP
2011
230views more  TSP 2011»
13 years 2 months ago
Bayesian Nonparametric Inference of Switching Dynamic Linear Models
—Many complex dynamical phenomena can be effectively modeled by a system that switches among a set of conditionally linear dynamical modes. We consider two such models: the switc...
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan,...