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» Regularization on Discrete Spaces
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TSP
2008
116views more  TSP 2008»
13 years 7 months ago
Nonideal Sampling and Regularization Theory
Shannon's sampling theory and its variants provide effective solutions to the problem of reconstructing a signal from its samples in some "shift-invariant" space, wh...
Sathish Ramani, Dimitri Van De Ville, Thierry Blu,...
FOCM
2011
84views more  FOCM 2011»
13 years 2 months ago
Discrete Lie Advection of Differential Forms
In this paper, we present a numerical technique for performing Lie advection of arbitrary differential forms. Leveraging advances in high-resolution finite volume methods for sca...
Patrick Mullen, Alexander McKenzie, Dmitry Pavlov,...
COMPGEOM
2000
ACM
13 years 12 months ago
Pitfalls in computing with pseudorandom determinants
It has been known for 30 years that pseudorandom number generators in the class of linear congruential generators (LCG) exhibit strong and predictable regularities. A widely used ...
Bernd Gärtner
GLOBECOM
2008
IEEE
14 years 2 months ago
Noise Thresholds for Discrete LDPC Decoding Mappings
— For decoding low-density parity-check (LDPC) codes on discrete memoryless channels, a method to quantize messages and to find message-passing decoding functions for the variab...
Brian M. Kurkoski, Kazuhiko Yamaguchi, Kingo Kobay...
WSC
2007
13 years 10 months ago
A discrete event model of clinical trial enrollment at Eli Lilly and company
Clinical trials constitute large, complex, and resource intensive activities for pharmaceutical companies. Accurate prediction of patient enrollment would represent a major step f...
Bernard M. McGarvey, Nancy J. Dynes, Burch C. Lin,...