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» A General, Abstract Model of Incremental Dialogue Processing
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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
ECML
2006
Springer
15 years 1 months ago
Transductive Gaussian Process Regression with Automatic Model Selection
Abstract. In contrast to the standard inductive inference setting of predictive machine learning, in real world learning problems often the test instances are already available at ...
Quoc V. Le, Alexander J. Smola, Thomas Gärtne...
MICCAI
2004
Springer
15 years 10 months ago
Robust Generalized Total Least Squares Iterative Closest Point Registration
Abstract. This paper investigates the use of a total least squares approach in a generalization of the iterative closest point (ICP) algorithm for shape registration. A new General...
Raúl San José Estépar, Anders...
DBSEC
2010
128views Database» more  DBSEC 2010»
14 years 10 months ago
On the Identification of Property Based Generalizations in Microdata Anonymization
Abstract. Majority of the search algorithms in microdata anonymization restrict themselves to a single privacy property and a single criteria to optimize. The solutions obtained ar...
Rinku Dewri, Indrajit Ray, Indrakshi Ray, Darrell ...
GEOINFORMATICA
1998
125views more  GEOINFORMATICA 1998»
14 years 9 months ago
Computational Perspectives on Map Generalization
ally related entity types, or classes, into higher level, more abstract types, as part of a hierarchical classi®cation scheme. graphy, generalization retains the notion of abstrac...
Robert Weibel, Christopher B. Jones