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INFFUS
2010
143views more  INFFUS 2010»
15 years 3 months ago
A multi-agent systems approach to distributed bayesian information fusion
This paper introduces design principles for modular Bayesian fusion systems which can (i) cope with large quantities of heterogeneous information and (ii) can adapt to changing co...
Gregor Pavlin, Patrick de Oude, Marinus Maris, Jan...
ECCV
2000
Springer
16 years 6 months ago
Non-linear Bayesian Image Modelling
In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces', of natural images. Examples include principal component anal...
Christopher M. Bishop, John M. Winn
ICML
2004
IEEE
16 years 5 months ago
Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data
In sequence modeling, we often wish to represent complex interaction between labels, such as when performing multiple, cascaded labeling tasks on the same sequence, or when longra...
Charles A. Sutton, Khashayar Rohanimanesh, Andrew ...
EUROCAST
2005
Springer
102views Hardware» more  EUROCAST 2005»
15 years 10 months ago
Approximation Problems Categories
abstract NP-hard optimization problem, in a general sense. From the observation that, intuitively, there are many connections among categorical concepts and structural complexity n...
Liara Aparecida dos Santos Leal, Dalcidio Moraes C...
CEC
2007
IEEE
15 years 8 months ago
Theoretical derivation, analysis and empirical evaluation of a simpler Particle Swarm Optimiser
In this paper we derive a simpler form of Particle Swarm Optimiser (PSO) which still retains the key properties of the original model. We do so by progressively altering the origin...
Riccardo Poli, Dan Brattonx, Tim Blackwell, James ...