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APN
2000
Springer
15 years 9 months ago
Pre- and Post-agglomerations for LTL Model Checking
One of the most efficient analysis technique is to reduce an original model into a simpler one such that the reduced model has the same properties than the original one. G. Berthel...
Denis Poitrenaud, Jean-François Pradat-Peyr...
CVPR
2012
IEEE
13 years 7 months ago
Multitarget data association with higher-order motion models
We present an iterative approximate solution to the multidimensional assignment problem under general cost functions. The method maintains a feasible solution at every step, and i...
Robert T. Collins
IROS
2008
IEEE
92views Robotics» more  IROS 2008»
15 years 11 months ago
Underactuated point stabilization using predictive models with application to marine vehicles
— Point stabilization of an underactuated vehicle is most often accomplished using a periodic time-varying control law, resulting in oscillatory trajectories. We present a two-st...
Matthew Greytak, Franz Hover
ICMLA
2009
15 years 2 months ago
Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule
Languages that combine predicate logic with probabilities are needed to succinctly represent knowledge in many real-world domains. We consider a formalism based on universally qua...
Sriraam Natarajan, Prasad Tadepalli, Gautam Kunapu...
CCE
2006
15 years 4 months ago
Bayesian-based on-line applicability evaluation of neural network models in modeling automotive paint spray operations
The neural network (NN) models well trained and validated by the same data may exhibit noticeably different predictabilities in applications. This is mainly due to the fact that t...
Jia Li, Yinlun Huang