In this paper, we propose a fully automatic method for the coupled 3D localization and segmentation of lower abdomen structures. We apply it to the joint segmentation of the prosta...
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
This paper proposes the use of an interaction modeling language called MoLIC to graphically represent scenarios as an additional resource in software development. MoLIC brings hum...
Most existing RCL−1 circuit reductions stamp inverse inductance L−1 elements by a second-order nodal analysis (NA). The NA formulation uses nodal voltage variables and describ...
This paper presents a spatial-semantic modeling system featuring automated learning of object-place relations from an online annotated database, and the application of these relat...
Pooja Viswanathan, David Meger, Tristram Southey, ...