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» Efficient Multidimensional Sampling
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MCS
2000
Springer
15 years 7 months ago
Analysis of a Fusion Method for Combining Marginal Classifiers
The use of multiple features by a classifier often leads to a reduced probability of error, but the design of an optimal Bayesian classifier for multiple features is dependent on t...
Mark D. Happel, Peter Bock
FLAIRS
2000
15 years 5 months ago
Overriding the Experts: A Stacking Method for Combining Marginal Classifiers
The design of an optimal Bayesian classifier for multiple features is dependent on the estimation of multidimensional joint probability density functions and therefore requires a ...
Mark D. Happel, Peter Bock
TOG
2008
92views more  TOG 2008»
15 years 4 months ago
Optimizing cubature for efficient integration of subspace deformations
We propose an efficient scheme for evaluating nonlinear subspace forces (and Jacobians) associated with subspace deformations. The core problem we address is efficient integration...
Steven S. An, Theodore Kim, Doug L. James
DEXA
2008
Springer
132views Database» more  DEXA 2008»
15 years 5 months ago
Efficient Updates for Continuous Skyline Computations
We address the problem of maintaining continuous skyline queries efficiently over dynamic objects with d dimensions. Skyline queries are an important new search capability for mult...
Yu-Ling Hsueh, Roger Zimmermann, Wei-Shinn Ku
SIGMOD
2006
ACM
149views Database» more  SIGMOD 2006»
16 years 4 months ago
Efficient query processing on unstructured tetrahedral meshes
Modern scientific applications consume massive volumes of data produced by computer simulations. Such applications require new data management capabilities in order to scale to te...
Stratos Papadomanolakis, Anastassia Ailamaki, Juli...