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» Modelling Smooth Paths Using Gaussian Processes
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IROS
2006
IEEE
175views Robotics» more  IROS 2006»
14 years 5 months ago
Toward Online Probabilistic Path Replanning in Dynamic Environments
— This paper presents work on sensor-based motion planning in initially unknown dynamic environments. Motion detection and modeling are combined with a smooth navigation function...
Roland Philippsen, Björn Jensen, Roland Siegw...
ICIP
2005
IEEE
15 years 18 days ago
Approximate separable 3D anisotropic Gauss filter
Anisotropic Gaussian filters are useful for adaptive smoothing and feature extraction. In our application, micro - tomographic images of fibers were smoothed by anisotropic Gaussi...
Oliver Wirjadi, Thomas M. Breuel
ICDE
2008
IEEE
135views Database» more  ICDE 2008»
15 years 9 days ago
Online Filtering, Smoothing and Probabilistic Modeling of Streaming data
In this paper, we address the problem of extending a relational database system to facilitate efficient real-time application of dynamic probabilistic models to streaming data. he ...
Bhargav Kanagal, Amol Deshpande
SDM
2007
SIAM
184views Data Mining» more  SDM 2007»
14 years 11 days ago
Mining Naturally Smooth Evolution of Clusters from Dynamic Data
Many clustering algorithms have been proposed to partition a set of static data points into groups. In this paper, we consider an evolutionary clustering problem where the input d...
Yi Wang, Shi-Xia Liu, Jianhua Feng, Lizhu Zhou
3DIM
2005
IEEE
14 years 4 months ago
Gaussian Scale-Space Dense Disparity Estimation with Anisotropic Disparity-Field Diffusion
We present a new reliable dense disparity estimation algorithm which employs Gaussian scale-space with anisotropic disparity-field diffusion. This algorithm estimates edge-preserv...
Jangheon Kim, Thomas Sikora