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JCST
2010
139views more  JCST 2010»
13 years 6 months ago
Dirichlet Process Gaussian Mixture Models: Choice of the Base Distribution
In the Bayesian mixture modeling framework it is possible to infer the necessary number of components to model the data and therefore it is unnecessary to explicitly restrict the n...
Dilan Görür, Carl Edward Rasmussen
ICCV
2007
IEEE
14 years 1 months ago
Two-View Motion Segmentation by Mixtures of Dirichlet Process with Model Selection and Outlier Removal
This paper presents a novel motion segmentation algorithm on the basis of mixture of Dirichlet process (MDP) models, a kind of nonparametric Bayesian framework. In contrast to pre...
Yong-Dian Jian, Chu-Song Chen
ISOLA
2007
Springer
14 years 1 months ago
Using Invariant Detection Mechanism in Black Box Inference
The testing and formal verification of black box software components is a challenging domain. The problem is even harder when specifications of these components are not available...
Muzammil Shahbaz, Roland Groz
IDEAS
2009
IEEE
232views Database» more  IDEAS 2009»
14 years 2 months ago
RDFKB: efficient support for RDF inference queries and knowledge management
RDFKB (Resource Description Framework Knowledge Base) is a relational database system for RDF datasets which supports inference and knowledge management. Significant research has ...
James P. McGlothlin, Latifur R. Khan
FSTTCS
1998
Springer
13 years 12 months ago
A Synchronous Semantics of Higher-Order Processes for Modeling Reconfigurable Reactive Systems
Abstract. Synchronous languages are well suited for the design of dependable real-time systems: they enable a very high-level specification and an extremely modular implementation ...
Jean-Pierre Talpin, David Nowak