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» Efficient Learning of Relational Object Class Models
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ECAI
2008
Springer
15 years 5 months ago
An Analysis of Bayesian Network Model-Approximation Techniques
Abstract. Two approaches have been used to perform approximate inference in Bayesian networks for which exact inference is infeasible: employing an approximation algorithm, or appr...
Adamo Santana, Gregory M. Provan
ICML
2006
IEEE
16 years 4 months ago
Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems
The recent Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent...
David Wingate, Satinder P. Singh
EMMCVPR
2001
Springer
15 years 7 months ago
A Hierarchical Markov Random Field Model for Figure-Ground Segregation
To segregate overlapping objects into depth layers requires the integration of local occlusion cues distributed over the entire image into a global percept. We propose to model thi...
Stella X. Yu, Tai Sing Lee, Takeo Kanade
140
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SSD
1999
Springer
106views Database» more  SSD 1999»
15 years 7 months ago
XZ-Ordering: A Space-Filling Curve for Objects with Spatial Extension
There is an increasing need to integrate spatial index structures into commercial database management systems. In geographic information systems (GIS), huge amounts of information ...
Christian Böhm, Gerald Klump, Hans-Peter Krie...
CASCON
2006
136views Education» more  CASCON 2006»
15 years 4 months ago
Workload adaptation in autonomic DBMSs
Workload adaptation is a performance management process in which an autonomic database management system (DBMS) efficiently makes use of its resources by filtering or controlling ...
Baoning Niu, Patrick Martin, Wendy Powley, Randy H...