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AUTOMATICA
2006
63views more  AUTOMATICA 2006»
13 years 9 months ago
Inference of disjoint linear and nonlinear sub-domains of a nonlinear mapping
This paper investigates new ways of inferring nonlinear dependence from measured data. The existence of unique linear and nonlinear sub-spaces which are structural invariants of g...
Douglas J. Leith, William E. Leithead, Roderick Mu...
CGF
2004
158views more  CGF 2004»
13 years 8 months ago
Combined Correlated and Importance Sampling in Direct Light Source Computation and Environment Mapping
This paper presents a general variance reduction method that is a quasi-optimal combination of correlated and importance sampling. The weights of the combination are selected auto...
László Szécsi, Mateu Sbert, L...
IJON
2002
84views more  IJON 2002»
13 years 8 months ago
On the generative probability density model in the self-organizing map
The Self-Organizing Map, SOM, is a widely used tool in exploratory data analysis. A major drawback of the SOM has been the lack of a theoretically justified criterion for model se...
Timo Kostiainen, Jouko Lampinen
ICRA
2010
IEEE
133views Robotics» more  ICRA 2010»
13 years 7 months ago
Visual sensing of continuum robot shape using self-organizing maps
— Shape control of continuum robots requires a means of sensing the the curved shape of the robot. Since continuum robots are deformable, they take on shapes that are general cur...
Jordan M. Croom, D. Caleb Rucker, Joseph M. Romano...
ISBI
2004
IEEE
14 years 9 months ago
Volumetric Harmonic Brain Mapping
Brain surface conformal mapping research has been successful and this motivates our more general investigation of 3D volumetric brain harmonic mapping. By transforming the full 3D...
Yalin Wang, Xianfeng Gu, Tony F. Chan, Paul M. Tho...