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ESSMAC
2003
Springer
15 years 11 months ago
Filtered Gaussian Processes for Learning with Large Data-Sets
Kernel-based non-parametric models have been applied widely over recent years. However, the associated computational complexity imposes limitations on the applicability of those me...
Jian Qing Shi, Roderick Murray-Smith, D. M. Titter...
TVCG
2010
147views more  TVCG 2010»
15 years 4 months ago
Edge Aware Anisotropic Diffusion for 3D Scalar Data
—In this paper we present a novel anisotropic diffusion model targeted for 3D scalar field data. Our model preserves material boundaries as well as fine tubular structures whil...
Zahid Hossain, Torsten Möller
160
Voted
TSP
2010
15 years 25 days ago
Noisy data and impulse response estimation
Abstract--This paper investigates the impulse response estimation of linear time-invariant (LTI) systems when only noisy finitelength input-output data of the system is available. ...
Soosan Beheshti, Munther A. Dahleh
167
Voted
ICRA
2006
IEEE
119views Robotics» more  ICRA 2006»
16 years 5 days ago
Polygonal Approximation of Laser Range Data based on Perceptual Grouping and EM
— Our goal is polygonal approximation of laser range data points obtained by a mobile robot. The proposed approach provides a precise estimation of the number of model components...
Longin Jan Latecki, Rolf Lakämper
CEC
2005
IEEE
15 years 11 months ago
Efficient global optimization (EGO) for multi-objective problem and data mining
In this study, a surrogate model is applied to multi-objective aerodynamic optimization design. For the balanced exploration and exploitation with the surrogate model, objective fu...
Shinkyu Jeong, Shigeru Obayashi