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ICPR
2002
IEEE
15 years 7 days ago
Variable Neighborhood Search for Geometrically Deformable Templates
This paper proposes two modifications to the geometrically deformable template model. First, the optimization stage originally based on simulated annealing is replaced with a meta...
Marc Lalonde, Langis Gagnon
IJAR
2010
113views more  IJAR 2010»
13 years 9 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 ...
CVPR
2012
IEEE
12 years 1 months ago
Learning 3D object templates by hierarchical quantization of geometry and appearance spaces
This paper presents a method for learning 3D object templates from view labeled object images. The 3D template is defined in a joint appearance and geometry space, and is compose...
Wenze Hu
IJCV
2007
146views more  IJCV 2007»
13 years 11 months ago
Statistical Multi-Object Shape Models
The shape of a population of geometric entities is characterized by both the common geometry of the population and the variability among instances. In the deformable model approach...
Conglin Lu, Stephen M. Pizer, Sarang C. Joshi, Ja-...
IPMI
2009
Springer
14 years 12 months ago
A Statistical Model of White Matter Fiber Bundles based on Currents
The purpose of this paper is to measure the variability of a population of white matter fiber bundles without imposing unrealistic geometrical priors. In this respect, modeling fib...
Stanley Durrleman, Pierre Fillard, Xavier Pennec, ...