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ICML
2005
IEEE
16 years 5 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore
ICRA
1998
IEEE
154views Robotics» more  ICRA 1998»
15 years 8 months ago
Environmental Complexity Control for Vision-Based Learning Mobile Robot
This paper discusses how a robot can develop its state vector according to the complexity of the interactions with its environment. A method for controlling the complexity is prop...
Eiji Uchibe, Minoru Asada, Koh Hosoda
ICRA
2010
IEEE
117views Robotics» more  ICRA 2010»
15 years 2 months ago
Learning reliable and efficient navigation with a humanoid
Reliable and efficient navigation with a humanoid robot is a difficult task. First, the motion commands are executed rather inaccurately due to backlash in the joints or foot slipp...
Stefan Oßwald, Armin Hornung, Maren Bennewit...
CVPR
2008
IEEE
16 years 6 months ago
Kernel-based learning of cast shadows from a physical model of light sources and surfaces for low-level segmentation
In background subtraction, cast shadows induce silhouette distortions and object fusions hindering performance of high level algorithms in scene monitoring. We introduce a nonpara...
André Zaccarin, Nicolas Martel-Brisson
137
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IBERAMIA
2004
Springer
15 years 9 months ago
Mobile Robotic Supported Collaborative Learning (MRSCL)
In this paper we describe MRSCL Geometry a collaborative educational activity that explores the use of robotic technology and wirelessly connected Pocket PCs as tools for teaching ...
Rubén Mitnik, Miguel Nussbaum, Alvaro Soto