We present a Bayesian method for mixture model training that simultaneously treats the feature selection and the model selection problem. The method is based on the integration of ...
Constantinos Constantinopoulos, Michalis K. Titsia...
This paper considers the problem of selecting a subset of nodes in a two-hop wireless network to act as relays in aiding the communication between the source-destination pair. Opt...
Caleb K. Lo, Sriram Vishwanath, Robert W. Heath Jr...
Consider the following problem: given a metric space, some of whose points are "clients," select a set of at most k facility locations to minimize the average distance f...
Anupam Gupta, Katrina Ligett, Frank McSherry, Aaro...
—We address the problem of code optimization for embedded DSP microprocessors. Such processors (e.g., those in the TMS320 series) have highly irregular datapaths, and conventiona...
Stan Y. Liao, Srinivas Devadas, Kurt Keutzer, Stev...
—In this paper, we study the impact of cooperative transmission on the routing decision for wireless ad-hoc networks. The influence of cooperative transmission to the wireless l...