Training recurrent neural networks is hard. Recently it has however been discovered that it is possible to just construct a random recurrent topology, and only train a single linea...
Benjamin Schrauwen, David Verstraeten, Jan M. Van ...
—The Morse-Smale complex is a useful topological data structure for the analysis and visualization of scalar data. This paper describes an algorithm that processes all mesh eleme...
Nithin Shivashankar, Senthilnathan M, Vijay Natara...
Topological methods aim at the segmentation of a vector field into areas of different flow behavior. For 2D time-dependent vector fields, two such segmentations are possible: eith...
In this paper, we present a novel method for efficient 3D model comparison. The method matches highly deformed models by comparing topological and geometric features. First, we pr...
Driven by continuing scaling of Moore's law, chip multiprocessors and systems-on-a-chip are expected to grow the core count from dozens today to hundreds in the near future. ...
Boris Grot, Joel Hestness, Stephen W. Keckler, Onu...