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» Using Gaussian Processes to Optimize Expensive Functions
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EMO
2003
Springer
98views Optimization» more  EMO 2003»
14 years 4 months ago
Visualization and Data Mining of Pareto Solutions Using Self-Organizing Map
Self-Organizing Maps (SOMs) have been used to visualize tradeoffs of Pareto solutions in the objective function space for engineering design obtained by Evolutionary Computation. F...
Shigeru Obayashi, Daisuke Sasaki
ICASSP
2011
IEEE
13 years 2 months ago
Near-field array shape calibration
In the important domain of array shape calibration, the near-field case poses a challenging problem due to the array response complexity induced by the range effect. In this pape...
Shuang Wan, Pei-Jung Chung, Bernard Mulgrew
ICML
2005
IEEE
14 years 11 months ago
Combining model-based and instance-based learning for first order regression
T ORDER REGRESSION (EXTENDED ABSTRACT) Kurt Driessensa Saso Dzeroskib a Department of Computer Science, University of Waikato, Hamilton, New Zealand (kurtd@waikato.ac.nz) b Departm...
Kurt Driessens, Saso Dzeroski
ICDE
2012
IEEE
223views Database» more  ICDE 2012»
12 years 1 months ago
Incremental Detection of Inconsistencies in Distributed Data
—This paper investigates the problem of incremental detection of errors in distributed data. Given a distributed database D, a set Σ of conditional functional dependencies (CFDs...
Wenfei Fan, Jianzhong Li, Nan Tang, Wenyuan Yu
DAGM
2010
Springer
13 years 8 months ago
3D Reconstruction Using an n-Layer Heightmap
We present a novel method for 3D reconstruction of urban scenes extending a recently introduced heightmap model. Our model has several advantages for 3D modeling of urban scenes: i...
David Gallup, Marc Pollefeys, Jan-Michael Frahm