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ECAI
2010
Springer
15 years 3 months ago
Adaptive Markov Logic Networks: Learning Statistical Relational Models with Dynamic Parameters
Abstract. Statistical relational models, such as Markov logic networks, seek to compactly describe properties of relational domains by representing general principles about objects...
Dominik Jain, Andreas Barthels, Michael Beetz
CVPR
2007
IEEE
16 years 8 months ago
Filtered Component Analysis to Increase Robustness to Local Minima in Appearance Models
Appearance Models (AM) are commonly used to model appearance and shape variation of objects in images. In particular, they have proven useful to detection, tracking, and synthesis...
Fernando De la Torre, Alvaro Collet, Manuel Quero,...
SMI
2005
IEEE
111views Image Analysis» more  SMI 2005»
16 years 3 days ago
Smooth Adaptive Fitting of 3D Models Using Hierarchical Triangular Splines
The recent ability to measure quickly and inexpensively dense sets of points on physical objects has deeply influenced the way engineers used to represent shapes in CAD systems, ...
Alex Yvart, Stefanie Hahmann, Georges-Pierre Bonne...
ARCS
2004
Springer
15 years 12 months ago
Heterogenous Data Fusion via a Probabilistic Latent-Variable Model
In a pervasive computing environment, one is facing the problem of handling heterogeneous data from different sources, transmitted over heterogeneous channels and presented on het...
Kai Yu, Volker Tresp
ISMAR
2002
IEEE
15 years 11 months ago
Augmented Urban Planning Workbench: Overlaying Drawings, Physical Models and Digital Simulation
There is a problem in the spatial and temporal separation between the varying forms of representation used in urban design. Sketches, physical models, and more recently computatio...
Hiroshi Ishii, Eran Ben-Joseph, John Underkoffler,...