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5396views
17 years 3 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
153
Voted
MIRAGE
2007
Springer
15 years 10 months ago
Fitting Subdivision Surface Models to Noisy and Incomplete 3-D Data
Abstract. We describe an algorithm for fitting a Catmull-Clark subdivision surface model to an unstructured, incomplete and noisy data set. We complete the large missing data regi...
Spela Ivekovic, Emanuele Trucco
126
Voted
SOCO
2005
Springer
15 years 10 months ago
Improving Composition Support with Lightweight Metadata-Based Extensions of Component Models
Software systems that rely on the component paradigm build new components by assembling existing prefabricated components. Most currently available IDEs support graphical component...
Johann Oberleitner, Michael Fischer
EMSOFT
2006
Springer
15 years 6 months ago
Reusable models for timing and liveness analysis of middleware for distributed real-time and embedded systems
Distributed real-time and embedded (DRE) systems have stringent constraints on timeliness and other properties whose assurance is crucial to correct system behavior. Formal tools ...
Venkita Subramonian, Christopher D. Gill, Cé...
153
Voted
NOMS
2008
IEEE
132views Communications» more  NOMS 2008»
15 years 11 months ago
Improving distributed service management using Service Modeling Language (SML)
—Automatic service and application deployment and management is becoming possible through the use of service and infrastructure discovery and policy systems. But using the infras...
Robert Adams, Ricardo Rivaldo, Guilherme Germoglio...