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NIPS
1997
13 years 10 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
TSE
1998
129views more  TSE 1998»
13 years 8 months ago
Inferring Declarative Requirements Specifications from Operational Scenarios
—Scenarios are increasingly recognized as an effective means for eliciting, validating, and documenting software requirements. This paper concentrates on the use of scenarios for...
Axel van Lamsweerde, Laurent Willemet
HICSS
2003
IEEE
153views Biometrics» more  HICSS 2003»
14 years 2 months ago
Automatic Mediation between Incompatible Component Interaction Styles
Incompatibility of component interaction styles is identified as a major obstacle to interoperability when using off-the-shelf components or dealing with legacy software in compos...
Klaus-Peter Löhr
AIS
2006
Springer
13 years 8 months ago
Computer vision for artists and designers: pedagogic tools and techniques for novice programmers
Abstract This article attempts to demystify computer vision for novice programmers through a survey of new applications in the arts, system design considerations, and contemporary ...
Golan Levin
EMSOFT
2007
Springer
14 years 2 months ago
The algebra of connectors: structuring interaction in BIP
We provide an algebraic formalisation of connectors in BIP. These are used to structure interactions in a component-based system. A connector relates a set of typed ports. Types a...
Simon Bliudze, Joseph Sifakis