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ESOP
2011
Springer
12 years 11 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...
CICLING
2010
Springer
14 years 2 months ago
An Experimental Study on Unsupervised Graph-based Word Sense Disambiguation
Recent research works on unsupervised word sense disambiguation report an increase in performance, which reduces their handicap from the respective supervised approaches for the sa...
George Tsatsaronis, Iraklis Varlamis, Kjetil N&osl...
SSPR
2004
Springer
14 years 1 months ago
An Optimal Probabilistic Graphical Model for Point Set Matching
We present a probabilistic graphical model for point set matching. By using a result about the redundancy of the pairwise distances in a point set, we represent the binary relation...
Tibério S. Caetano, Terry Caelli, Dante Aug...
CVPR
1999
IEEE
14 years 21 hour ago
Detecting and Tracking Moving Objects for Video Surveillance
We address the problem of detection and tracking of moving objects in a video stream obtained from a moving airborne platform. The proposed method relies on a graph representation...
Isaac Cohen, Gérard G. Medioni
JUCS
2008
100views more  JUCS 2008»
13 years 7 months ago
Stacked Dependency Networks for Layout Document Structuring
: We address the problems of structuring and annotation of layout-oriented documents. We model the annotation problems as the collective classification on graph-like structures wit...
Boris Chidlovskii, Loïc Lecerf