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» Deep Inference and Its Normal Form of Derivations
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TCAD
2002
115views more  TCAD 2002»
13 years 10 months ago
Analytical models for crosstalk excitation and propagation in VLSI circuits
We develop a general methodology to analyze crosstalk effects that are likely to cause errors in deep submicron high speed circuits. We focus on crosstalk due to capacitive coupli...
Wei-Yu Chen, Sandeep K. Gupta, Melvin A. Breuer
ICTAC
2004
Springer
14 years 4 months ago
A Proof of Weak Termination Providing the Right Way to Terminate
We give an inductive method for proving weak innermost termination of rule-based programs, from which we automatically infer, for each successful proof, a finite strategy for data...
Olivier Fissore, Isabelle Gnaedig, Hél&egra...
IJON
2010
138views more  IJON 2010»
13 years 9 months ago
A dynamic Bayesian network to represent discrete duration models
Originally devoted to specific applications such as biology, medicine and demography, duration models are now widely used in economy, finance or reliability. Recent works in var...
Roland Donat, Philippe Leray, Laurent Bouillaut, P...
ICCV
1999
IEEE
14 years 3 months ago
Robust Estimation of Curvature Information from Noisy 3D Data for Shape Description
We describe an effective and novel approach to infer sign and direction of principal curvatures at each input site from noisy 3D data. Unlike most previous approaches, no local su...
Chi-Keung Tang, Gérard G. Medioni
CVPR
1996
IEEE
1457views Computer Vision» more  CVPR 1996»
15 years 26 days ago
Edge Detection and Ridge Detection with Automatic Scale Selection
When computing descriptors of image data, the type of information that can be extracted may be strongly dependent on the scales at which the image operators are applied. This arti...
Tony Lindeberg