Sciweavers

1340 search results - page 49 / 268
» Kalman Temporal Differences
Sort
View
ICML
2007
IEEE
16 years 19 days ago
Tracking value function dynamics to improve reinforcement learning with piecewise linear function approximation
Reinforcement learning algorithms can become unstable when combined with linear function approximation. Algorithms that minimize the mean-square Bellman error are guaranteed to co...
Chee Wee Phua, Robert Fitch
ISBI
2008
IEEE
16 years 16 days ago
A new detection scheme for multiple object tracking in fluorescence microscopy by joint probabilistic data association filtering
Tracking of multiple objects in biological image data is a challenging problem due largely to poor imaging conditions and complicated motion scenarios. Existing tracking algorithm...
Ihor Smal, Wiro J. Niessen, Erik H. W. Meijering
IROS
2007
IEEE
157views Robotics» more  IROS 2007»
15 years 6 months ago
Combining motion from texture and lines for visual navigation
— Two novel methods for computing 3D structure information from video for a piecewise planar scene are presented. The first method is based on a new line constraint, which clear...
Konstantinos Bitsakos, Li Yi, Cornelia Fermül...
LOCA
2007
Springer
15 years 6 months ago
Inferring Position Knowledge from Location Predicates
Many context- and location-aware applications request high accuracy and availability of positioning systems. In reality however, knowledge about the current position may be incompl...
Jörg Roth
ROBOCUP
2004
Springer
117views Robotics» more  ROBOCUP 2004»
15 years 5 months ago
Map-Based Multiple Model Tracking of a Moving Object
In this paper we propose an approach for tracking a moving target using Rao-Blackwellised particle filters. Such filters represent posteriors over the target location by a mixtur...
Cody C. T. Kwok, Dieter Fox