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TSP
2010
14 years 11 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic
130
Voted
AIMS
2007
Springer
15 years 11 months ago
Harnessing Models for Policy Conflict Analysis
Policy conflict analysis processes based solely on the examination of policy language constructs can not readily discern the semantics associated with the managed system for which ...
Steven Davy, Brendan Jennings
SIGMETRICS
2006
ACM
104views Hardware» more  SIGMETRICS 2006»
15 years 11 months ago
Modeling adoptability of secure BGP protocols
Despite the existence of several secure BGP routing protocols, there has been little progress to date on actual adoption. Although feasibility for widespread adoption remains the ...
Haowen Chan, Debabrata Dash, Adrian Perrig, Hui Zh...
FGR
1996
IEEE
198views Biometrics» more  FGR 1996»
15 years 9 months ago
Towards 3D hand tracking using a deformable model
In this paper we rst describe how we have constructed a 3D deformable Point Distribution Model of the human hand, capturing training data semi-automatically from volume images via...
Tony Heap, David Hogg
BMCBI
2007
167views more  BMCBI 2007»
15 years 5 months ago
A stochastic differential equation model for transcriptional regulatory networks
Background: This work explores the quantitative characteristics of the local transcriptional regulatory network based on the availability of time dependent gene expression data se...
Adriana Climescu-Haulica, Michelle D. Quirk