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ICIP
2006
IEEE
16 years 7 months ago
Wavelet Denoising of Multicomponent Images, using a Noise-Free Image
In this paper, a Bayesian wavelet denoising procedure for multicomponent images is proposed. The procedure makes use of a noise-free single component image as prior information. T...
Paul Scheunders, Steve De Backer
AVSS
2006
IEEE
16 years 22 min ago
Dynamic Control of Adaptive Mixture-of-Gaussians Background Model
We propose a method for create a background model in non-stationary scenes. Each pixel has a dynamic Gaussian mixture model. Our approach can automatically change the number of Ga...
Atsushi Shimada, Daisaku Arita, Rin-ichiro Taniguc...
NIPS
1998
15 years 7 months ago
Fisher Scoring and a Mixture of Modes Approach for Approximate Inference and Learning in Nonlinear State Space Models
We present Monte-Carlo generalized EM equations for learning in nonlinear state space models. The dif
Thomas Briegel, Volker Tresp
IROS
2009
IEEE
206views Robotics» more  IROS 2009»
16 years 17 days ago
Bayesian reinforcement learning in continuous POMDPs with gaussian processes
— Partially Observable Markov Decision Processes (POMDPs) provide a rich mathematical model to handle realworld sequential decision processes but require a known model to be solv...
Patrick Dallaire, Camille Besse, Stéphane R...
ICML
2005
IEEE
16 years 6 months ago
Supervised dimensionality reduction using mixture models
Given a classification problem, our goal is to find a low-dimensional linear transformation of the feature vectors which retains information needed to predict the class labels. We...
Sajama, Alon Orlitsky