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» Structured Objects: Modeling and Reasoning
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UAI
1996
15 years 5 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
BPM
2006
Springer
158views Business» more  BPM 2006»
15 years 7 months ago
Flexibility of Data-Driven Process Structures
Abstract. The coordination of complex process structures is a fundamental task for enterprises, such as in the automotive industry. Usually, such process structures consist of seve...
Dominic Müller, Manfred Reichert, Joachim Her...
ESWS
2010
Springer
15 years 2 months ago
Modeling and Querying Metadata in the Semantic Sensor Web: The Model stRDF and the Query Language stSPARQL
Abstract. RDF will often be the metadata model of choice in the Semantic Sensor Web. However, RDF can only represent thematic metadata and needs to be extended if we want to model ...
Manolis Koubarakis, Kostis Kyzirakos
126
Voted
NSDI
2004
15 years 5 months ago
Structure Management for Scalable Overlay Service Construction
This paper explores the model of providing a common overlay structure management layer to assist the construction of large-scale wide-area Internet services. To this end, we propo...
Kai Shen
168
Voted
CVPR
2009
IEEE
16 years 11 months ago
In Defense of Orthonormality Constraints for Nonrigid Structure from Motion
In factorization approaches to nonrigid structure from motion, the 3D shape of a deforming object is usually modeled as a linear combination of a small number of basis shapes. T...
Ijaz Akhter (LUMS, Lahore, Pakistan), Yaser Sheikh...