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» A Graph Based Process Representation for Process Modeling
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CN
2002
78views more  CN 2002»
15 years 2 months ago
A stochastic model for the evolution of the Web
Recently several authors have proposed stochastic models of the growth of the Web graph that give rise to power-law distributions. These models are based on the notion of preferen...
Mark Levene, Trevor I. Fenner, George Loizou, Rich...
118
Voted
ICIP
2004
IEEE
16 years 4 months ago
Redundant image representations in security applications
To be efficient, data protection algorithms should generally exploit the properties of the media information in the transform domain. In this paper, we will advocate the use of no...
Philippe Jost, Pierre Vandergheynst, Pascal Frossa...
162
Voted
ICDE
2011
IEEE
247views Database» more  ICDE 2011»
14 years 6 months ago
Process flexibility through customizable activities: A mashup-based approach
Abstract— In several contexts, the success of Workflow applications is limited by the excess of rigidity of workflow enactment, which leaves no freedom to end-users to “custo...
Marco Fisichella, Maristella Matera
132
Voted
ADC
2006
Springer
135views Database» more  ADC 2006»
15 years 8 months ago
Using a temporal constraint network for business process execution
Business process management (BPM) has emerged as a dominant technology in current enterprise systems and business solutions. However, the technology continues to face challenges i...
Ruopeng Lu, Shazia Wasim Sadiq, Vineet Padmanabhan...
99
Voted
PAMI
2008
140views more  PAMI 2008»
15 years 2 months ago
Simplifying Mixture Models Using the Unscented Transform
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfus...