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CVPR
2005
IEEE
16 years 1 months ago
Kernel-Based Bayesian Filtering for Object Tracking
Particle filtering provides a general framework for propagating probability density functions in non-linear and non-Gaussian systems. However, the algorithm is based on a Monte Ca...
Bohyung Han, Ying Zhu, Dorin Comaniciu, Larry S. D...
TOG
2012
209views Communications» more  TOG 2012»
13 years 2 months ago
Animating bubble interactions in a liquid foam
Bubbles and foams are important features of liquid surface phenomena, but they are difficult to animate due to their thin films and complex interactions in the real world. In par...
Oleksiy Busaryev, Tamal K. Dey, Huamin Wang, Zhong...
STOC
2006
ACM
92views Algorithms» more  STOC 2006»
15 years 12 months ago
On the importance of idempotence
Range searching is among the most fundamental problems in computational geometry. An n-element point set in Rd is given along with an assignment of weights to these points from so...
Sunil Arya, Theocharis Malamatos, David M. Mount
CPM
2005
Springer
100views Combinatorics» more  CPM 2005»
15 years 1 months ago
Hardness of Optimal Spaced Seed Design
Abstract. Speeding up approximate pattern matching is a line of research in stringology since the 80’s. Practically fast approaches belong to the class of filtration algorithms,...
François Nicolas, Eric Rivals
ICRA
1999
IEEE
126views Robotics» more  ICRA 1999»
15 years 4 months ago
Monte Carlo Localization for Mobile Robots
Mobile robot localization is the problem of determining a robot's pose from sensor data. This article presents a family of probabilisticlocalization algorithms known as Monte...
Frank Dellaert, Dieter Fox, Wolfram Burgard, Sebas...