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» The complexity of stochastic sequences
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AUTOMATICA
2007
82views more  AUTOMATICA 2007»
14 years 12 months ago
Simulation-based optimal sensor scheduling with application to observer trajectory planning
The sensor scheduling problem can be formulated as a controlled hidden Markov model and this paper solves the problem when the state, observation and action spaces are continuous....
Sumeetpal S. Singh, Nikolaos Kantas, Ba-Ngu Vo, Ar...
IJCV
2006
107views more  IJCV 2006»
14 years 11 months ago
Behavioral Priors for Detection and Tracking of Pedestrians in Video Sequences
In this paper we address the problem of detection and tracking of pedestrians in complex scenarios. The inclusion of prior knowledge is more and more crucial in scene analysis to g...
Gianluca Antonini, Santiago Venegas-Martinez, Mich...
CORR
2008
Springer
117views Education» more  CORR 2008»
14 years 12 months ago
Robust Stochastic Chemical Reaction Networks and Bounded Tau-Leaping
The behavior of some stochastic chemical reaction networks is largely unaffected by slight inaccuracies in reaction rates. We formalize the robustness of state probabilities to re...
David Soloveichik
SIAMADS
2010
145views more  SIAMADS 2010»
14 years 6 months ago
Propagation of Spike Sequences in Neural Networks
Precise spatiotemporal sequences of action potentials are observed in many brain areas and are thought to be involved in the neural processing of sensory stimuli. Here, we examine ...
Arnaud Tonnelier
PNPM
1989
15 years 3 months ago
SPNP: Stochastic Petri Net Package
We present SPNP, a powerful GSPN package developed at Duke University. SPNP allows the modeling of complex system behaviors. Advanced constructs are available, such as markingdepe...
Gianfranco Ciardo, Jogesh K. Muppala, Kishor S. Tr...