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ICML
2009
IEEE
16 years 3 months ago
Structure learning of Bayesian networks using constraints
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
Cassio Polpo de Campos, Zhi Zeng, Qiang Ji
CVPR
2008
IEEE
15 years 9 months ago
Photogeometric structured light: A self-calibrating and multi-viewpoint framework for accurate 3D modeling
Structured-light methods actively generate geometric correspondence data between projectors and cameras in order to facilitate robust 3D reconstruction. In this paper, we present ...
Daniel G. Aliaga, Yi Xu
SAS
2007
Springer
15 years 9 months ago
Shape Analysis with Structural Invariant Checkers
Abstract. Developer-supplied data structure specifications are important to shape analyses, as they tell the analysis what information should be tracked in order to obtain the des...
Bor-Yuh Evan Chang, Xavier Rival, George C. Necula
BPM
2006
Springer
98views Business» more  BPM 2006»
15 years 6 months ago
Structured Service Composition
Composition languages like BPEL and many enactment tools only support structured process models, while most composition approaches only consider unstructured models. In this paper,...
Rik Eshuis, Paul W. P. J. Grefen, Sven Till
IJCAI
1997
15 years 4 months ago
Structural Inferences from Massive Datasets
High-level understanding of data must involve the interplay between substantial prior knowledge with geometric and statistical techniques. Our approach emphasizes the recovery of ...
Kenneth Yip