We present a generic mobility and traffic generation framework that can be incorporated into a tool for modeling and simulating large scale ad hoc networks. Three components of thi...
Christopher L. Barrett, Madhav V. Marathe, James P...
There has been significant recent interest in sparse metric learning (SML) in which we simultaneously learn both a good distance metric and a low-dimensional representation. Unfor...
Abstract—We propose a sequential framework for the distributed multiple-sensor estimation and coding problem that decomposes the problem into a series of side-informed source cod...
Due to the complex nature of scientific workflow environments, temporal violations often take place and may severely reduce the timeliness of the execution’s results. To handle ...
We present a streaming framework for seamless building reconstruction from huge aerial LiDAR point sets. By storing data as stream files on hard disk and using main memory as only ...
Qian-Yi Zhou (University of Southern California), ...