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» Persistence in discrete optimization under data uncertainty
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IPSN
2004
Springer
15 years 2 months ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
CPAIOR
2008
Springer
14 years 11 months ago
Stochastic Satisfiability Modulo Theories for Non-linear Arithmetic
Abstract. The stochastic satisfiability modulo theories (SSMT) problem is a generalization of the SMT problem on existential and randomized (aka. stochastic) quantification over di...
Tino Teige, Martin Fränzle
116
Voted
ICDT
2011
ACM
232views Database» more  ICDT 2011»
14 years 27 days ago
(Approximate) uncertain skylines
Given a set of points with uncertain locations, we consider the problem of computing the probability of each point lying on the skyline, that is, the probability that it is not do...
Peyman Afshani, Pankaj K. Agarwal, Lars Arge, Kasp...
JPDC
2008
122views more  JPDC 2008»
14 years 9 months ago
Stochastic robustness metric and its use for static resource allocations
This research investigates the problem of robust static resource allocation for distributed computing systems operating under imposed Quality of Service (QoS) constraints. Often, ...
Vladimir Shestak, Jay Smith, Anthony A. Maciejewsk...
82
Voted
ICMCS
2009
IEEE
132views Multimedia» more  ICMCS 2009»
14 years 7 months ago
Video face recognition with graph-based semi-supervised learning
We consider the problem of classification of multiple observations of the same object, possibly under different transformations. We view this problem as a special case of semi-sup...
Effrosini Kokiopoulou, Pascal Frossard