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TFS
2011
239views Education» more  TFS 2011»
14 years 4 months ago
Systems Control With Generalized Probabilistic Fuzzy-Reinforcement Learning
—Reinforcement learning (RL) is a valuable learning method when the systems require a selection of control actions whose consequences emerge over long periods for which input– ...
William M. Hinojosa, Samia Nefti, Uzay Kaymak
ICRA
2008
IEEE
172views Robotics» more  ICRA 2008»
15 years 4 months ago
Registration of colored 3D point clouds with a Kernel-based extension to the normal distributions transform
— We present a new algorithm for scan registration of colored 3D point data which is an extension to the Normal Distributions Transform (NDT). The probabilistic approach of NDT i...
Benjamin Huhle, Martin Magnusson 0002, Wolfgang St...
MICCAI
2009
Springer
15 years 11 months ago
A Generic Probabilistic Active Shape Model for Organ Segmentation
Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal di...
Andreas Wimmer, Grzegorz Soza, Joachim Hornegger
PODC
1989
ACM
15 years 1 months ago
Multiple Communication in Multi-Hop Radio Networks
Two tasks of communication in a multi-hop synchronous radio network are considered: point-to-point communication and broadcast (sending a message to all nodes of a network). Effi...
Reuven Bar-Yehuda, Amos Israeli
MDM
2009
Springer
116views Communications» more  MDM 2009»
15 years 4 months ago
Finding Probabilistic Nearest Neighbors for Query Objects with Imprecise Locations
—A nearest neighbor query is an important notion in spatial databases and moving object databases. In the emerging application fields of moving object technologies, such as mobi...
Yuichi Iijima, Yoshiharu Ishikawa