Many applications produce three-dimensional points that must be further processed to generate a surface. Surface reconstruction algorithms that start with a set of unorganized poi...
—This paper presents a novel strategy for interference mitigation in an uplink of high reuse cellular networks through distributive processing. It is proposed that the neighborin...
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
The purpose of this paper is to provide a preliminary report on the rst broad-based experimental comparison of modern heuristics for the asymmetric traveling salesmen problem ATSP....
Jill Cirasella, David S. Johnson, Lyle A. McGeoch,...
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...