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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
WSC
2004
14 years 11 months ago
Stochastic Petri Nets for Modelling and Simulation
Stochastic Petri nets (SPNs) have proven to be a powerful and enduring graphically-oriented framework for modelling and performance analysis of complex systems. This tutorial focu...
Peter J. Haas
SPLC
2007
14 years 11 months ago
Product Line Implementation using Aspect-Oriented and Model-Driven Software Development
Software product line engineering aims to reduce development time, effort, cost, and complexity by taking advantage of the commonality within a portfolio of similar products. The ...
Markus Völter, Iris Groher
SIGMOD
2009
ACM
136views Database» more  SIGMOD 2009»
15 years 10 months ago
A comparison of approaches to large-scale data analysis
There is currently considerable enthusiasm around the MapReduce (MR) paradigm for large-scale data analysis [17]. Although the basic control flow of this framework has existed in ...
Andrew Pavlo, Erik Paulson, Alexander Rasin, Danie...
ICASSP
2009
IEEE
15 years 1 months ago
Strategies for modeling reverberant speech in the feature domain
The length of the room impulse response characterizing the acoustic path between speaker and microphone is significantly larger than the length of the analysis window used for fea...
Armin Sehr, Walter Kellermann