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ECCV
2004
Springer
14 years 10 months ago
Unlevel-Sets: Geometry and Prior-Based Segmentation
We present a novel variational approach to top-down image segmentation, which accounts for significant projective transformations between a single prior image and the image to be s...
Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen
IPMI
2001
Springer
14 years 9 months ago
Deformation Analysis for Shape Based Classification
Statistical analysis of anatomical shape differences between two different populations can be reduced to a classification problem, i.e., learning a classifier function for assignin...
Polina Golland, W. Eric L. Grimson, Martha Elizabe...
ECAI
2010
Springer
13 years 6 months ago
Adaptive Markov Logic Networks: Learning Statistical Relational Models with Dynamic Parameters
Abstract. Statistical relational models, such as Markov logic networks, seek to compactly describe properties of relational domains by representing general principles about objects...
Dominik Jain, Andreas Barthels, Michael Beetz
LPAR
2010
Springer
13 years 7 months ago
A Syntactical Approach to Qualitative Constraint Networks Merging
We address the problem of merging qualitative constraint networks (QCNs) representing agents local preferences or beliefs on the relative position of spatial or temporal entities. ...
Jean-François Condotta, Souhila Kaci, Pierr...
IJAR
2010
113views more  IJAR 2010»
13 years 7 months ago
A geometric view on learning Bayesian network structures
We recall the basic idea of an algebraic approach to learning Bayesian network (BN) structures, namely to represent every BN structure by a certain (uniquely determined) vector, c...
Milan Studený, Jirí Vomlel, Raymond ...