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NIPS
2003
15 years 5 months ago
Linear Response for Approximate Inference
Belief propagation on cyclic graphs is an efficient algorithm for computing approximate marginal probability distributions over single nodes and neighboring nodes in the graph. I...
Max Welling, Yee Whye Teh
STOC
2003
ACM
188views Algorithms» more  STOC 2003»
16 years 4 months ago
Almost random graphs with simple hash functions
We describe a simple randomized construction for generating pairs of hash functions h1, h2 from a universe U to ranges V = [m] = {0, 1, . . . , m - 1} and W = [m] so that for ever...
Martin Dietzfelbinger, Philipp Woelfel
IJON
2006
43views more  IJON 2006»
15 years 4 months ago
A two-dimensional population density approach to modeling the dLGN/PGN network
The interaction of two populations of integrate-and-fire-or-burst neurons representing thalamocortical cells from the dorsal lateral geniculate nucleus (dLGN) and thalamic reticul...
Marco A. Huertas, Gregory D. Smith
ICPR
2006
IEEE
16 years 5 months ago
Real-Time 3D Articulated Pose Tracking using Particle Filters Interacting through Belief Propagation
This article proposes a new statistical model for fast 3D articulated body tracking, similar to the loose-limbed model, but where inter-frame coherence is taken into account by us...
Olivier Bernier
KDD
2008
ACM
183views Data Mining» more  KDD 2008»
16 years 4 months ago
A bayesian mixture model with linear regression mixing proportions
Classic mixture models assume that the prevalence of the various mixture components is fixed and does not vary over time. This presents problems for applications where the goal is...
Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gu...