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» A Constructive Approach to Testing Model Transformations
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CVPR
2009
IEEE
15 years 6 months ago
Disambiguating the recognition of 3D objects
We propose novel algorithms for the detection, segmentation, recognition, and pose estimation of threedimensional objects. Our approach initially infers geometric primitives to de...
Gutemberg Guerra-Filho
IJAR
2010
130views more  IJAR 2010»
14 years 10 months ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki
RECOMB
2003
Springer
16 years 2 days ago
Physical network models and multi-source data integration
We develop a new framework for inferring models of transcriptional regulation. The models in this approach, which we call physical models, are constructed on the basis of verifiab...
Chen-Hsiang Yeang, Tommi Jaakkola
TASE
2011
IEEE
14 years 3 months ago
Fast Intersection-Free Offset Surface Generation From Freeform Models With Triangular Meshes
Abstract—A fast offset surface generation approach is presented in this paper to construct intersection-free offset surfaces, which preserve sharp features, from freeform triangu...
Shengjun Liu, Charlie C. L. Wang
WSC
2000
15 years 1 months ago
Analyzing transformation-based simulation metamodels
We present a technique for analyzing a simulation metamodel that has been constructed using a variancestabilizing transformation. To compute a valid confidence interval for the ex...
Maria de los A. Irizarry, Michael E. Kuhl, Emily K...