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UAI
2000
14 years 11 months ago
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...
IJSNET
2007
155views more  IJSNET 2007»
14 years 9 months ago
Distributed Bayesian fault diagnosis of jump Markov systems in wireless sensor networks
: A Bayesian distributed online change detection algorithm is proposed for monitoring a dynamical system by a wireless sensor network. The proposed solution relies on modelling the...
Hichem Snoussi, Cédric Richard
3DPVT
2006
IEEE
175views Visualization» more  3DPVT 2006»
15 years 4 months ago
On 3D Retrieval from Photos
In this paper, we propose a method for 3D-model retrieval from one or more photos. This method provides an ”optimal” selection of 2D views to represent a 3D-model, and a proba...
Tarik Filali Ansary, Jean-Philippe Vandeborre, Moh...
TASLP
2002
109views more  TASLP 2002»
14 years 9 months ago
Particle methods for Bayesian modeling and enhancement of speech signals
This paper applies time-varying autoregressive (TVAR) models with stochastically evolving parameters to the problem of speech modeling and enhancement. The stochastic evolution mod...
Jaco Vermaak, Christophe Andrieu, Arnaud Doucet, S...
SODA
2010
ACM
371views Algorithms» more  SODA 2010»
15 years 7 months ago
Online Learning with Queries
The online learning problem requires a player to iteratively choose an action in an unknown and changing environment. In the standard setting of this problem, the player has to ch...
Chao-Kai Chiang, Chi-Jen Lu