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» On Computing Functions with Uncertainty
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SIGGRAPH
1992
ACM
15 years 10 months ago
Predicting reflectance functions from complex surfaces
We describe a physically-based Monte Carlo technique for approximating bidirectional reflectance distribution functions (BRDFs) for a large class of geometries by directly simulat...
Stephen H. Westin, James Arvo, Kenneth E. Torrance
DAC
2005
ACM
15 years 8 months ago
Parameterized block-based statistical timing analysis with non-gaussian parameters, nonlinear delay functions
Variability of process parameters makes prediction of digital circuit timing characteristics an important and challenging problem in modern chip design. Recently, statistical stat...
Hongliang Chang, Vladimir Zolotov, Sambasivan Nara...
ECCV
2008
Springer
15 years 8 months ago
Reformulating and Optimizing the Mumford-Shah Functional on a Graph - A Faster, Lower Energy Solution
Active contour formulations predominate current minimization of the Mumford-Shah functional (MSF) for image segmentation and filtering. Unfortunately, these formulations necessitat...
Leo Grady, Christopher V. Alvino
ECRTS
2010
IEEE
15 years 6 months ago
The Demand Bound Function Interface of Distributed Sporadic Pipelines of Tasks Scheduled by EDF
—In distributed real-time embedded systems (DRE), it is common to model an application as a set of task chains. Each chain is activated cyclically and must complete before an end...
Nicola Serreli, Giuseppe Lipari, Enrico Bini
MICCAI
2010
Springer
15 years 4 months ago
Symmetric Positive-Definite Cartesian Tensor Orientation Distribution Functions (CT-ODF)
Abstract. A novel method for estimating a field of orientation distribution functions (ODF) from a given set of DW-MR images is presented. We model the ODF by Cartesian tensor basi...
Yonas T. Weldeselassie, Angelos Barmpoutis, M. Ste...