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» Pairwise Clustering and Graphical Models
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CVPR
2010
IEEE
14 years 3 months ago
Automatic Discovery of Meaningful Object Parts with Latent CRFs
Object recognition is challenging due to high intra-class variability caused, e.g., by articulation, viewpoint changes, and partial occlusion. Successful methods need to strike a...
Paul Schnitzspan, Stefan Roth, Bernt Schiele
TOG
2008
143views more  TOG 2008»
13 years 7 months ago
Discovering structural regularity in 3D geometry
We introduce a computational framework for discovering regular or repeated geometric structures in 3D shapes. We describe and classify possible regular structures and present an e...
Mark Pauly, Niloy J. Mitra, Johannes Wallner, Helm...
GIS
2007
ACM
14 years 1 months ago
Cell-based generalization of 3D building groups with outlier management
In this paper, we present a technique that generalizes 3D building groups of virtual 3D city models according to a cell structure that is derived from infrastructure networks. In ...
Tassilo Glander, Jürgen Döllner
SMI
2005
IEEE
154views Image Analysis» more  SMI 2005»
14 years 29 days ago
Feature Sensitive Mesh Segmentation with Mean Shift
Feature sensitive mesh segmentation is important for many computer graphics and geometric modeling applications. In this paper, we develop a mesh segmentation method which is capa...
Hitoshi Yamauchi, Seungyong Lee, Yunjin Lee, Yutak...
NIPS
2007
13 years 8 months ago
Expectation Maximization and Posterior Constraints
The expectation maximization (EM) algorithm is a widely used maximum likelihood estimation procedure for statistical models when the values of some of the variables in the model a...
João Graça, Kuzman Ganchev, Ben Task...