Recursive Dual-Net (RDN) was proposed recently as an effective, high-performance interconnection network for supercomputers with millions of nodes. A Recursive DualNet RDN(B) is r...
Measurement and inference in data centers present a set of opportunities and challenges distinct from the Internet domain. Existing toolsets may be perturbed or be mislead by issu...
Neil Alexander Twigg, Marwan Fayed, Colin Perkins,...
A novel and efficient method is presented for grouping feature points on the basis of their underlying symmetry and characterising the symmetries present in an image. We show how s...
We introduce a new class of moment-based features invariant to rotation and to convolution with an unknown point-spread function having circular symmetry. Unlike the invariants pu...
We propose an algorithm for computing the facets of a pure connected polyhedral fan up to symmetry. The fan is represented by an oracle. With suitable implementations of the oracle...