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UAI
1998
15 years 8 months ago
Context-specific approximation in probabilistic inference
There is evidence that the numbers in probabilistic inference don't really matter. This paper considers the idea that we can make a probabilistic model simpler by making fewe...
David Poole
BMCBI
2008
93views more  BMCBI 2008»
15 years 6 months ago
Hybrid MM/SVM structural sensors for stochastic sequential data
In this paper we present preliminary results stemming from a novel application of Markov Models and Support Vector Machines to splice site classification of Intron-Exon and Exon-I...
Brian Roux, Stephen Winters-Hilt
CSDA
2008
154views more  CSDA 2008»
15 years 6 months ago
Independent factor discriminant analysis
In the general classification context the recourse to the so-called Bayes decision rule requires to estimate the class conditional probability density functions. In this paper we p...
Angela Montanari, Daniela G. Calò, Cinzia V...
DATESO
2010
141views Database» more  DATESO 2010»
15 years 4 months ago
Reverse-engineering of XML Schemas: A Survey
As approaches to conceptual modeling of XML data become more popular, a need arises to reverse-engineer existing schemas to the conceptual models. They make the management of XML s...
Jakub Klímek, Martin Necasky
ICMCS
2009
IEEE
415views Multimedia» more  ICMCS 2009»
15 years 4 months ago
A new localized superpixel Markov random field for image segmentation
In this paper, we present a novel localized Markov random field (MRF) method based on superpixels for region segmentation. Early vision problems could be formulated as pixel label...
Xiaofeng Wang, Xiao-Ping Zhang