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TASE
2008
IEEE
14 years 10 months ago
Vision-Based Online Process Control in Manufacturing Applications
Applications such as layered manufacturing, or in general, solid free-form fabrication, pose a major challenge on online process control. For these parts to be functional, it is i...
Yuan Cheng, Mohsen A. Jafari
ATAL
2004
Springer
15 years 3 months ago
Decentralized Markov Decision Processes with Event-Driven Interactions
Decentralized MDPs provide a powerful formal framework for planning in multi-agent systems, but the complexity of the model limits its usefulness. We study in this paper a class o...
Raphen Becker, Shlomo Zilberstein, Victor R. Lesse...
IROS
2008
IEEE
211views Robotics» more  IROS 2008»
15 years 4 months ago
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
Jonathan Ko, Dieter Fox
CORR
2006
Springer
121views Education» more  CORR 2006»
14 years 10 months ago
Use of UML and Model Transformations for Workflow Process Definitions
Currently many different modeling languages are used for workflow definitions in BPM systems. Authors of this paper analyze the two most popular graphical languages, with highest p...
Audris Kalnins, Valdis Vitolins
NC
2010
150views Neural Networks» more  NC 2010»
14 years 8 months ago
Deterministic and stochastic P systems for modelling cellular processes
This paper presents two approaches based on metabolic and stochastic P systems, together with their associated analysis methods, for modelling biological systems and illustrates th...
Marian Gheorghe, Vincenzo Manca, Francisco Jos&eac...