We study the influence of the choice of template in tensorbased morphometry. Using 3D brain MR images from 10 monozygotic twin pairs, we defined a tensor-based distance in the log...
Natasha Lepore, Caroline A. Brun, Yi-Yu Chou, Agat...
In this work we take a novel view of nonlinear manifold learning. Usually, manifold learning is formulated in terms of finding an embedding or `unrolling' of a manifold into ...
Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova...
The top-k similarity joins have been extensively studied and used
in a wide spectrum of applications such as information retrieval, decision
making, spatial data analysis and dat...