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ANSS
1996
IEEE
15 years 10 months ago
Computation of the Asymptotic Bias and Variance for Simulation of Markov Reward Models
The asymptotic bias and variance are important determinants of the quality of a simulation run. In particular, the asymptotic bias can be used to approximate the bias introduced b...
Aad P. A. van Moorsel, Latha A. Kant, William H. S...
CW
2002
IEEE
15 years 11 months ago
Adaptive Content Model for Multimedia Presentation
Multimedia presentation systems require flexible support for the modeling of multimedia content models. Many presentation systems provide the synchronized, sequential or concurren...
L. Y. Deng, R.-X. Chen, R.-C. Chang, T.-S. Huang
MVA
2008
125views Computer Vision» more  MVA 2008»
15 years 6 months ago
Pearson-based mixture model for color object tracking
To track objects in video sequences, many studies have been done to characterize the target with respect to its color distribution. Most often, the Gaussian Mixture Model (GMM) is ...
William Ketchantang, Stéphane Derrode, Lion...
CSR
2007
Springer
16 years 16 days ago
Maximal Intersection Queries in Randomized Graph Models
Consider a family of sets and a single set, called query set. How can one quickly find a member of the family which has a maximal intersection with the query set? Strict time cons...
Benjamin Hoffmann, Yury Lifshits, Dirk Nowotka
CORR
2010
Springer
98views Education» more  CORR 2010»
15 years 6 months ago
Maximal Intersection Queries in Randomized Input Models
Consider a family of sets and a single set, called the query set. How can one quickly find a member of the family which has a maximal intersection with the query set? Time constra...
Benjamin Hoffmann, Mikhail Lifshits, Yury Lifshits...