The construction of multicast trees is complicated by the need to balance a number of important objectives, including: minimizing latencies, minimizing depth/hops, and bounding th...
We study the topological simplification of graphs via random embeddings, leading ultimately to a reduction of the Gupta-Newman-Rabinovich-Sinclair (GNRS) L1 embedding conjecture t...
We study a natural network creation game, in which each node locally tries to minimize its local diameter or its local average distance to other nodes, by swapping one incident ed...
Noga Alon, Erik D. Demaine, MohammadTaghi Hajiagha...
In high-dimensional classification problems it is infeasible to include enough training samples to cover the class regions densely. Irregularities in the resulting sparse sample d...
s: clustering, denoising, sharp feature, shape abstraction, reverse engineering In this paper we describe a hierarchical face clustering algorithm for triangle meshes based on fit...