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ICONIP
2007
13 years 10 months ago
Natural Conjugate Gradient in Variational Inference
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
Antti Honkela, Matti Tornio, Tapani Raiko, Juha Ka...
ICS
2005
Tsinghua U.
14 years 2 months ago
Continuous Replica Placement schemes in distributed systems
The Replica Placement Problem (RPP) aims at creating a set of duplicated data objects across the nodes of a distributed system in order to optimize certain criteria. Typically, RP...
Thanasis Loukopoulos, Petros Lampsas, Ishfaq Ahmad
MST
2010
155views more  MST 2010»
13 years 3 months ago
Stochastic Models and Adaptive Algorithms for Energy Balance in Sensor Networks
We consider the important problem of energy balanced data propagation in wireless sensor networks and we extend and generalize previous works by allowing adaptive energy assignment...
Pierre Leone, Sotiris E. Nikoletseas, José ...
CDC
2009
IEEE
173views Control Systems» more  CDC 2009»
14 years 1 months ago
Sequentially updated Probability Collectives
— Multi-agent coordination problems can be cast as distributed optimization tasks. Probability Collectives (PCs) are techniques that deal with such problems in discrete and conti...
Michalis Smyrnakis, David S. Leslie
CIVR
2007
Springer
192views Image Analysis» more  CIVR 2007»
14 years 2 months ago
Texture retrieval based on a non-parametric measure for multivariate distributions
In the present study, an efficient strategy for retrieving texture images from large texture databases is introduced and studied within a distributional-statistical framework. Our...
Vasileios K. Pothos, Christos Theoharatos, George ...