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CISS
2008
IEEE
15 years 4 months ago
Distributed estimation in wireless sensor networks via variational message passing
Abstract – In this paper, a variational message passing framework is proposed for Markov random fields. Analogous to the traditional belief propagation algorithm, variational mes...
Yanbing Zhang, Huaiyu Dai
HPDC
2007
IEEE
15 years 4 months ago
Using content-addressable networks for load balancing in desktop grids
Desktop grids combine Peer-to-Peer and Grid computing techniques to improve the robustness, reliability and scalability of job execution infrastructures. However, efficiently mat...
Jik-Soo Kim, Peter J. Keleher, Michael A. Marsh, B...
ICC
2009
IEEE
15 years 4 months ago
Robust Cyclic Space-Frequency Filtering for BICM-OFDM with Outdated CSIT
— In this paper, we introduce robust cyclic space– frequency (CSF) filtering for systems combining bit–interleaved coded modulation (BICM) and orthogonal frequency division ...
Harry Z. B. Chen, Robert Schober, Wolfgang H. Gers...
NIPS
1998
14 years 11 months ago
Global Optimisation of Neural Network Models via Sequential Sampling
We propose a novel strategy for training neural networks using sequential Monte Carlo algorithms. This global optimisation strategy allows us to learn the probability distribution...
João F. G. de Freitas, Mahesan Niranjan, Ar...
CVPR
2008
IEEE
15 years 11 months ago
Conditional density learning via regression with application to deformable shape segmentation
Many vision problems can be cast as optimizing the conditional probability density function p(C|I) where I is an image and C is a vector of model parameters describing the image. ...
Jingdan Zhang, Shaohua Kevin Zhou, Dorin Comaniciu...