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UAI
2001
13 years 7 months ago
Learning the Dimensionality of Hidden Variables
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. Dete...
Gal Elidan, Nir Friedman
PAMI
2010
205views more  PAMI 2010»
13 years 4 months ago
Learning a Hierarchical Deformable Template for Rapid Deformable Object Parsing
In this paper, we address the tasks of detecting, segmenting, parsing, and matching deformable objects. We use a novel probabilistic object model that we call a hierarchical defor...
Long Zhu, Yuanhao Chen, Alan L. Yuille
CVPR
2009
IEEE
2358views Computer Vision» more  CVPR 2009»
15 years 29 days ago
Pictorial Structures Revisited: People Detection and Articulated Pose Estimation
Non-rigid object detection and articulated pose estimation are two related and challenging problems in computer vision. Numerous models have been proposed over the years and oft...
Mykhaylo Andriluka (TU Darmstadt), Stefan Roth (TU...
VRML
2000
ACM
13 years 10 months ago
3D behavioral model design for simulation and software engineering
Modeling is used to build structures that serve as surrogates for other objects. As children, we learn to model at a very young age. An object such as a small toy train teaches us...
Paul A. Fishwick
ISBI
2006
IEEE
14 years 6 months ago
Statistics of populations of images and its embedded objects: driving applications in neuroimaging
Work in progress towards modeling shape statistics of multiobject complexes is presented. Constraints defined by the set of objects such as a compact representation of object shap...
Guido Gerig, Sarang C. Joshi, P. Thomas Fletcher, ...