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...
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...
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...
— 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...
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...