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» A Practical Technique for Process Abstraction
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IROS
2008
IEEE
211views Robotics» more  IROS 2008»
15 years 8 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
103
Voted
CORR
2010
Springer
77views Education» more  CORR 2010»
15 years 1 months ago
Sound Bisimulations for Higher-Order Distributed Process Calculus
Abstract. While distributed systems with transfer of processes have become pervasive, methods for reasoning about their behaviour are underdeveloped. In this paper we develop a bis...
Adrien Piérard, Eijiro Sumii
108
Voted
UML
2004
Springer
15 years 7 months ago
System-on-Chip Verification Process Using UML
Abstract. In this paper, we propose a verification methodology for System-OnChip (SoC) design using Unified Modeling Language (UML). We introduce UML as a formal model to analyze a...
Qiang Zhu, Tsuneo Nakata, Masataka Mine, Kenichiro...
SIGGRAPH
1995
ACM
15 years 5 months ago
Motion signal processing
Techniques from the image and signal processing domain can be successfully applied to designing, modifying, and adapting animated motion. For this purpose, we introduce multiresol...
Armin Bruderlin, Lance Williams
89
Voted
ICDM
2010
IEEE
125views Data Mining» more  ICDM 2010»
14 years 11 months ago
Evolving Ensemble-Clustering to a Feedback-Driven Process
Abstract--Data clustering is a highly used knowledge extraction technique and is applied in more and more application domains. Over the last years, a lot of algorithms have been pr...
Martin Hahmann, Dirk Habich, Wolfgang Lehner