Abstract--This paper investigates the performance of a new multivariate method for tensor-based morphometry (TBM). Statistics on Riemannian manifolds are developed that exploit the...
Natasha Lepore, Caroline A. Brun, Yi-Yu Chou, Ming...
In this paper we show how CR-Prolog, a recent extension of A-Prolog, was used in the successor of USA-Advisor (USA-Smart) in order to improve the quality of the plans returned. The...
Support Vector Learning Machines (SVM) are nding application in pattern recognition, regression estimation, and operator inversion for ill-posed problems. Against this very genera...
The super-resolution problem is considered using a meansquared error minimizing solution of a generalized undersampling model in this non-iterative frequency domain approach. Whil...
We describe the design and implementation of a socially assistive robot that is able to monitor the performance of a user during a combined mental and physical task, with the purp...