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ICRA
2007
IEEE
113views Robotics» more  ICRA 2007»
15 years 11 months ago
Sampling-Based Motion Planning With Sensing Uncertainty
Abstract— Sampling-based algorithms have dramatically improved the state of the art in robotic motion planning. However, they make restrictive assumptions that limit their applic...
Brendan Burns, Oliver Brock
IWANN
2007
Springer
15 years 10 months ago
A Comparison Between ANN Generation and Training Methods and Their Development by Means of Graph Evolution: 2 Sample Problems
Abstract. This paper presents a study in which a new technique for automatically developing Artificial Neural Networks (ANNs) by means of Evolutionary Computation (EC) tools is com...
Daniel Rivero, Julian Dorado, Juan R. Rabuñ...
RT
2004
Springer
15 years 10 months ago
Hardware Accelerated Visibility Preprocessing using Adaptive Sampling
We present a novel aggressive visibility preprocessing technique for general 3D scenes. Our technique exploits commodity graphics hardware and is faster than most conservative sol...
Shaun Nirenstein, Edwin H. Blake
152
Voted
FLAIRS
2008
15 years 7 months ago
Selecting Minority Examples from Misclassified Data for Over-Sampling
We introduce a method to deal with the problem of learning from imbalanced data sets, where examples of one class significantly outnumber examples of other classes. Our method sel...
Jorge de la Calleja, Olac Fuentes, Jesús Go...
134
Voted
AROBOTS
2005
100views more  AROBOTS 2005»
15 years 4 months ago
A Sampling-Based Motion Planning Approach to Maintain Visibility of Unpredictable Targets
This paper deals with the surveillance problem of computing the motions of one or more robot observers in order to maintain visibility of one or several moving targets. The target...
Rafael Murrieta-Cid, Benjamín Tovar, Seth H...