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CDC
2009
IEEE
116views Control Systems» more  CDC 2009»
13 years 8 months ago
On the linear-exponential filtering problem for general Gaussian processes
The explicit solution of the filtering problem with exponential criteria for a general Gaussian signal is obtained through an approach which is based on a conditional Cameron-Mart...
Marina L. Kleptsyna, Alain Le Breton, Michel Viot
TOG
2010
106views more  TOG 2010»
12 years 11 months ago
Accelerating spatially varying Gaussian filters
High-dimensional Gaussian filters, most notably the bilateral filter, are important tools for many computer graphics and vision tasks. In recent years, a number of techniques for ...
Jongmin Baek, David E. Jacobs
ICASSP
2011
IEEE
12 years 8 months ago
Filter design with secrecy constraints: The multiple-input multiple-output Gaussian wiretap channel with zero forcing receive fi
This paper considers the problem of lter design with secrecy constraints, where two legitimate parties (Alice and Bob) communicate in the presence of an eavesdropper (Eve), over a...
Hugo Reboredo, Vinay Uday Prabhu, Miguel R. D. Rod...
AROBOTS
2011
12 years 12 months 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
IROS
2008
IEEE
211views Robotics» more  IROS 2008»
13 years 11 months ago
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
Jonathan Ko, Dieter Fox