A general wireless networking problem is formulated whereby end-to-end user rates, routes, link capacities, transmitpower, frequency and power resources are jointly optimized acros...
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
: We study the scalability of 2-D discrete wavelet transform algorithms on fine-grained parallel architectures. The principal operation in the 2-D DWT is the filtering operation us...
Jamshed N. Patel, Ashfaq A. Khokhar, Leah H. Jamie...
This paper introduces AntNet, a novel approach to the adaptive learning of routing tables in communications networks. AntNet is a distributed, mobile agents based Monte Carlo syst...
The problem of solving sparse Systems of Linear Algebraic Equations (SLAE) by parallel Monte Carlo numerical methods is considered. The almost optimal Monte Carlo algorithms are pr...