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CVPR
2009
IEEE
16 years 6 months ago
StaRSaC: Stable Random Sample Consensus for Parameter Estimation
We address the problem of parameter estimation in presence of both uncertainty and outlier noise. This is a common occurrence in computer vision: feature localization is perform...
Jongmoo Choi, Gérard G. Medioni
AIPS
1998
15 years 1 months ago
Randomization in Backtrack Search: Exploiting Heavy-Tailed Profiles for Solving Hard Scheduling Problems
Westudytheruntimeprofilesofcompletebacktrackstylesearchmethodsappliedtohardschedulingproblems.Suchsearchmethodsoftenexhibita largevariabilityinperformanceduetothenon-standardnatur...
Carla P. Gomes, Bart Selman, Ken McAloon, Carol Tr...
TCOM
2008
131views more  TCOM 2008»
14 years 11 months ago
Accurate estimation of the Hurst parameter of long-range dependent traffic using modified Allan and Hadamard variances
Abstract--Internet traffic exhibits self-similarity and longrange dependence (LRD) on various time scales. In this paper, we propose to use the Modified Allan Variance (MAVAR) and ...
Stefano Bregni, Luca Jmoda
90
Voted
CEC
2010
IEEE
15 years 23 days ago
A Mean-Variance Optimization algorithm
A new stochastic optimization algorithm referred to by the authors as the `Mean-Variance Optimization' (MVO) algorithm is presented in this paper. MVO falls into the category ...
Istvan Erlich, Ganesh K. Venayagamoorthy, Nakawiro...
TSP
2008
101views more  TSP 2008»
14 years 11 months ago
Optimal Node Density for Detection in Energy-Constrained Random Networks
The problem of optimal node density maximizing the Neyman-Pearson detection error exponent subject to a constraint on average (per node) energy consumption is analyzed. The spatial...
Animashree Anandkumar, Lang Tong, Ananthram Swami