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EUROCRYPT
2003
Springer
15 years 12 months ago
Why Provable Security Matters?
Abstract. Recently, methods from provable security, that had been developped for the last twenty years within the research community, have been extensively used to support emerging...
Jacques Stern
ACSC
2008
IEEE
15 years 8 months ago
An investigation of the state formation and transition limitations for prediction problems in recurrent neural networks
Recurrent neural networks are able to store information about previous as well as current inputs. This "memory" allows them to solve temporal problems such as language r...
Angel Kennedy, Cara MacNish
ICCV
2007
IEEE
16 years 8 months ago
Enabling Users to Guide the Design of Robust Model Fitting Algorithms
Model-based image interpretation extracts high-level information from images using a priori knowledge about the object of interest. The computational challenge in model fitting is...
Matthias Wimmer, Freek Stulp, Bernd Radig
UAI
2008
15 years 8 months ago
Cumulative distribution networks and the derivative-sum-product algorithm
We introduce a new type of graphical model called a `cumulative distribution network' (CDN), which expresses a joint cumulative distribution as a product of local functions. ...
Jim C. Huang, Brendan J. Frey
ICSE
2001
IEEE-ACM
15 years 11 months ago
A Framework for Multi-Valued Reasoning over Inconsistent Viewpoints
In requirements elicitation, different stakeholders often hold different views of how a proposed system should behave, resulting in inconsistencies between their descriptions. Con...
Steve M. Easterbrook, Marsha Chechik