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» The Localization Hypothesis and Machines
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ICML
2007
IEEE
14 years 10 months ago
Local dependent components
We introduce a mixture of probabilistic canonical correlation analyzers model for analyzing local correlations, or more generally mutual statistical dependencies, in cooccurring d...
Arto Klami, Samuel Kaski
ISBI
2009
IEEE
14 years 4 months ago
Probabilistic Branching Node Detection Using Hybrid Local Features
Probabilistic branching node inference is an important step for analyzing branching patterns involved in many anatomic structures. We propose combining machine learning techniques...
Haibin Ling, Michael Barnathan, Vasileios Megalooi...
IBPRIA
2005
Springer
14 years 3 months ago
Color Image Segmentation Using Acceptable Histogram Segmentation
In this paper, a new method for the segmentation of color images is presented. This method searches for an acceptable segmentation of 1D-histograms, according to a “monotone” h...
Julie Delon, Agnès Desolneux, Jose Luis Lis...
ACTA
2007
88views more  ACTA 2007»
13 years 10 months ago
Distributed Consensus, revisited
We provide a novel model to formalize a well-known algorithm, by Chandra and Toueg, that solves Consensus among asynchronous distributed processes in the presence of a particular ...
Rachele Fuzzati, Massimo Merro, Uwe Nestmann
ICML
2006
IEEE
14 years 10 months ago
Efficient learning of Naive Bayes classifiers under class-conditional classification noise
We address the problem of efficiently learning Naive Bayes classifiers under classconditional classification noise (CCCN). Naive Bayes classifiers rely on the hypothesis that the ...
Christophe Nicolas Magnan, François Denis, ...