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CVIU
2011
14 years 8 months ago
Sampled medial loci for 3D shape representation
The medial axis transform is valuable for shape representation as it is complete and captures part structure. However, its exact computation for arbitrary 3D models is not feasibl...
Svetlana Stolpner, Sue Whitesides, Kaleem Siddiqi
AAAI
2012
13 years 3 months ago
Advances in Lifted Importance Sampling
We consider lifted importance sampling (LIS), a previously proposed approximate inference algorithm for statistical relational learning (SRL) models. LIS achieves substantial vari...
Vibhav Gogate, Abhay Kumar Jha, Deepak Venugopal
APPROX
2005
Springer
111views Algorithms» more  APPROX 2005»
15 years 6 months ago
Sampling Bounds for Stochastic Optimization
A large class of stochastic optimization problems can be modeled as minimizing an objective function f that depends on a choice of a vector x ∈ X, as well as on a random external...
Moses Charikar, Chandra Chekuri, Martin Pál
NIPS
1996
15 years 2 months ago
Continuous Sigmoidal Belief Networks Trained using Slice Sampling
Real-valued random hidden variables can be useful for modelling latent structure that explains correlations among observed variables. I propose a simple unit that adds zero-mean G...
Brendan J. Frey
ICRA
1995
IEEE
91views Robotics» more  ICRA 1995»
15 years 4 months ago
Three-Dimensional Model Construction from Multiple Sensor Viewpoints
2 Multi-view Integration: A Review We address the problem of constructing a boundary model of an object when the input consists of a set of points that lie on its surface. We assum...
Stéphane Aubry, Vincent Hayward