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» Approximate Probabilistic Model Checking
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CVPR
2008
IEEE
14 years 9 months ago
Physical simulation for probabilistic motion tracking
Human motion tracking is an important problem in computer vision. Most prior approaches have concentrated on efficient inference algorithms and prior motion models; however, few c...
Marek Vondrak, Leonid Sigal, Odest Chadwicke Jenki...
ICRA
2010
IEEE
151views Robotics» more  ICRA 2010»
13 years 6 months ago
Probabilistic target detection by camera-equipped UAVs
— This paper is motivated by the real world problem of search and rescue by unmanned aerial vehicles (UAVs). We consider the problem of tracking a static target from a bird’sey...
Andrew Colquhoun Symington, Sonia Waharte, Simon J...
TSMC
2008
113views more  TSMC 2008»
13 years 7 months ago
Computational Methods for Verification of Stochastic Hybrid Systems
Stochastic hybrid system (SHS) models can be used to analyze and design complex embedded systems that operate in the presence of uncertainty and variability. Verification of reacha...
Xenofon D. Koutsoukos, Derek Riley
CSDA
2007
94views more  CSDA 2007»
13 years 7 months ago
Some extensions of score matching
Many probabilistic models are only defined up to a normalization constant. This makes maximum likelihood estimation of the model parameters very difficult. Typically, one then h...
Aapo Hyvärinen
SIGMOD
2007
ACM
192views Database» more  SIGMOD 2007»
14 years 7 months ago
Benchmarking declarative approximate selection predicates
Declarative data quality has been an active research topic. The fundamental principle behind a declarative approach to data quality is the use of declarative statements to realize...
Amit Chandel, Oktie Hassanzadeh, Nick Koudas, Moha...