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ICANN
2007
Springer
16 years 16 days ago
Structure Learning with Nonparametric Decomposable Models
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
Anton Schwaighofer, Mathäus Dejori, Volker Tr...
PG
2003
IEEE
15 years 11 months ago
Shape-Similarity Comparison of 3D Models Using Alpha Shapes
As the number of in-house and public-domain 3D shape models increase, importance of shape-similarity based search and retrieval for 3D shapes models has increased rapidly. In this...
Ryutarou Ohbuchi, Tsuyoshi Takei
BIS
2008
92views Business» more  BIS 2008»
15 years 7 months ago
Structural Detection of Deadlocks in Business Process Models
Abstract. A common task in business process modelling is the verification of process models regarding syntactical and structural errors. While the former might be checked with low ...
Ahmed Awad, Frank Puhlmann
CGF
1999
128views more  CGF 1999»
15 years 6 months ago
Creating Architectural Models from Images
We present methods for creating 3D graphical models of scenes from a limited numbers of images, i.e. one or two, in situations where no scene co-ordinate measurements are availabl...
David Liebowitz, Antonio Criminisi, Andrew Zisserm...
CORR
2011
Springer
214views Education» more  CORR 2011»
14 years 10 months ago
Convex Approaches to Model Wavelet Sparsity Patterns
Statistical dependencies among wavelet coefficients are commonly represented by graphical models such as hidden Markov trees (HMTs). However, in linear inverse problems such as d...
Nikhil S. Rao, Robert D. Nowak, Stephen J. Wright,...