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» Working Models for Uncertain Data
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129
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IADIS
2003
15 years 5 months ago
Using Opnet Modeler to Analyse Galileo Communication Networks
Galileo is a European initiative to develop and deploy an independent global satellite-based navigation system. It consists of a Medium Earth Orbit sat ellite constellation transm...
Filipa Borrego, Juan-Antonio Martinez Rosique, Man...
158
Voted
VISSYM
2004
15 years 5 months ago
Occlusion Culling for Sub-Surface Models in Geo-Scientific Applications
We present a three pass occlusion culling algorithm, which makes efficient use of hardware support. Our geo-scientific sub-surface data sets consist typically of a set of high res...
John Plate, Anselm Grundhöfer, Benjamin Schmi...
145
Voted
CCS
2010
ACM
15 years 4 months ago
Modeling attacks on physical unclonable functions
We show in this paper how several proposed Physical Unclonable Functions (PUFs) can be broken by numerical modeling attacks. Given a set of challenge-response pairs (CRPs) of a PU...
Ulrich Rührmair, Frank Sehnke, Jan Sölte...
133
Voted
IDT
2008
123views more  IDT 2008»
15 years 3 months ago
A rich semantic model of track as a foundation for sharing beliefs regarding dynamic objects and events
: Many defense, homeland security, and commercial security objectives require continuous tracking of mobile entities such as aircraft. The systems that perform these functions prod...
Frederick Hayes-Roth, Curtis L. Blais
121
Voted
CVPR
2007
IEEE
16 years 5 months ago
Regularized Mixed Dimensionality and Density Learning in Computer Vision
A framework for the regularized estimation of nonuniform dimensionality and density in high dimensional data is introduced in this work. This leads to learning stratifications, th...
Gloria Haro, Gregory Randall, Guillermo Sapiro