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JMLR
2010
155views more  JMLR 2010»
13 years 3 months ago
Bayesian Gaussian Process Latent Variable Model
We introduce a variational inference framework for training the Gaussian process latent variable model and thus performing Bayesian nonlinear dimensionality reduction. This method...
Michalis Titsias, Neil D. Lawrence
GECCO
2006
Springer
137views Optimization» more  GECCO 2006»
14 years 55 min ago
Inside a predator-prey model for multi-objective optimization: a second study
In this article, new variation operators for evolutionary multiobjective algorithms (EMOA) are proposed. On the basis of a predator-prey model theoretical considerations as well a...
Christian Grimme, Karlheinz Schmitt
SMA
2003
ACM
163views Solid Modeling» more  SMA 2003»
14 years 1 months ago
Fast swept volume approximation of complex polyhedral models
We present an efficient algorithm to approximate the swept volume (SV) of a complex polyhedron along a given trajectory. Given the boundary description of the polyhedron and a pat...
Young J. Kim, Gokul Varadhan, Ming C. Lin, Dinesh ...
ISBI
2008
IEEE
14 years 9 months ago
Segmentation of fetal 3D ultrasound based on statistical prior and deformable model
A statistical variational framework is proposed for the fetus and uterus segmentation in ultrasound images. The Rayleigh and exponential distributions are used to model the pixel ...
Jérémie Anquez, Elsa D. Angelini, Is...
VCBM
2010
13 years 3 months ago
A General Approach to Model Biomedical Data from 3D Unorganised Point Clouds with Medial Scaffolds
We present the latest developments in modeling 3D biomedical data via the Medial Scaffold (MS), a 3D acyclic oriented graph representation of the Medial Axis (MA) [LK07, SP08]. Th...
Frederic F. Leymarie, Ming-Ching Chang, Celina Imi...