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» Building a Stochastic Dynamic Model of Application Use
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167
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KDD
2000
ACM
101views Data Mining» more  KDD 2000»
15 years 8 months ago
Incremental quantile estimation for massive tracking
Data--call records, internet packet headers, or other transaction records--are coming down a pipe at a ferocious rate, and we need to monitor statistics of the data. There is no r...
Fei Chen, Diane Lambert, José C. Pinheiro
144
Voted
FGR
2006
IEEE
111views Biometrics» more  FGR 2006»
15 years 11 months ago
Registration of Expressions Data using a 3D Morphable Model
The registration of 3D scans of faces is a key step for many applications, in particular for building 3D Morphable Models. Although a number of algorithms are already available fo...
Curzio Basso, Pascal Paysan, Thomas Vetter
137
Voted
FOGA
1994
15 years 6 months ago
Predictive Models Using Fitness Distributions of Genetic Operators
An important goal of the theory of genetic algorithms is to build predictive models of how well genetic algorithms are expected to perform, given a representation, a fitness lands...
John J. Grefenstette
WOSP
2010
ACM
15 years 12 months ago
A general result for deriving product-form solutions in markovian models
In this paper we provide a general method to derive productform solutions for stochastic models. We take inspiration from the Reversed Compound Agent Theorem [14] and we provide a...
Andrea Marin, Maria Grazia Vigliotti
248
Voted
SOCA
2010
IEEE
15 years 2 months ago
Virtualised e-Learning with real-time guarantees on the IRMOS platform
In this paper we focus on how Quality of Service guarantees are provided to virtualised applications in the Cloud Computing infrastructure that is being developed in the context of...
Tommaso Cucinotta, Fabio Checconi, Zlatko Zlatev, ...