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ICCV
2005
IEEE
15 years 11 months ago
Inference of Non-Overlapping Camera Network Topology by Measuring Statistical Dependence
We present an approach for inferring the topology of a camera network by measuring statistical dependence between observations in different cameras. Two cameras are considered con...
Kinh Tieu, Gerald Dalley, W. Eric L. Grimson
NIPS
2008
15 years 7 months ago
Local Gaussian Process Regression for Real Time Online Model Learning
Learning in real-time applications, e.g., online approximation of the inverse dynamics model for model-based robot control, requires fast online regression techniques. Inspired by...
Duy Nguyen-Tuong, Matthias Seeger, Jan Peters
ARC
2010
Springer
154views Hardware» more  ARC 2010»
15 years 5 months ago
Perspectives on system identification
: System identification is the art and science of building mathematical models of dynamic systems from observed input-output data. It can be seen as the interface between the real ...
Lennart Ljung
AROBOTS
2011
15 years 24 days ago
Learning GP-BayesFilters via Gaussian process latent variable models
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
Jonathan Ko, Dieter Fox
EOR
2006
76views more  EOR 2006»
15 years 5 months ago
Regional development assessment: A structural equation approach
We propose a multivariate statistical framework for regional development assessment based on structural equation modelling with latent variables and show how such methods can be c...
Dario Cziráky, Joze Sambt, Joze Rovan, Jaks...