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RAS
1998
145views more  RAS 1998»
13 years 8 months ago
Coordinated path planning for multiple robots
We present a new approach to the multi-robot path planning problem, where a number of robots are to change their positions through feasible motions in the same static environment....
Petr Svestka, Mark H. Overmars
ICML
2007
IEEE
14 years 9 months ago
Hierarchical Gaussian process latent variable models
The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data through dimensional reduction. In this paper we ext...
Neil D. Lawrence, Andrew J. Moore
ETFA
2006
IEEE
14 years 3 months ago
Advance in Multiply Sectioned Bayesian Networks: Sensor Network Practitioners' Perspective
Multiplysectioned Bayesian networks provide a probabilistic framework for reasoning about uncertain domains in cooperative multiagent systems. Several advances have been made in r...
Y. Xiang, K. Zhang
ICDM
2006
IEEE
158views Data Mining» more  ICDM 2006»
14 years 3 months ago
A Probability Distribution Of Functional Random Variable With A Functional Data Analysis Application
Probability distributions are central tools for probabilistic modeling in data mining, and they lack in functional data analysis (FDA). In this paper we propose a probability dist...
Etienne Cuvelier, Monique Noirhomme-Fraiture
PAKDD
2005
ACM
133views Data Mining» more  PAKDD 2005»
14 years 2 months ago
An Anomaly Detection Method for Spacecraft Using Relevance Vector Learning
This paper proposes a novel anomaly detection system for spacecrafts based on data mining techniques. It constructs a nonlinear probabilistic model w.r.t. behavior of a spacecraft ...
Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida