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17 years 5 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
CGI
2004
IEEE
15 years 10 months ago
Computer Aided Design for Origamic Architecture Models with Polygonal Representation
An Origamic Architecture (OA) is a folded sheet of perforated paper from which a three-dimensional structure "pops up" when it is opened. It is similar to a "pop-up...
Jun Mitani, Hiromasa Suzuki
CF
2010
ACM
15 years 11 months ago
Enabling a highly-scalable global address space model for petascale computing
Over the past decade, the trajectory to the petascale has been built on increased complexity and scale of the underlying parallel architectures. Meanwhile, software developers hav...
Vinod Tipparaju, Edoardo Aprà, Weikuan Yu, ...
DAIS
2008
15 years 7 months ago
A Comprehensive Context Modeling Framework for Pervasive Computing Systems
Context management in pervasive computing environments must reflect the specific characteristics of these environments, e.g. distribution, mobility, resource-constrained devices, o...
Roland Reichle, Michael Wagner, Mohammad Ullah Kha...
AISC
2008
Springer
15 years 8 months ago
Case Studies in Model Manipulation for Scientific Computing
Abstract. The same methodology is used to develop 3 different applications. We begin by using a very expressive, appropriate Domain Specific Language, to write down precise problem...
Jacques Carette, Spencer Smith, John McCutchan, Ch...