Empirical divergence maximization is an estimation method similar to empirical risk minimization whereby the Kullback-Leibler divergence is maximized over a class of functions tha...
P2P technology has been widely adopted in live streaming system for its scalability and low commercial cost. However, tree based system or mesh based system still has to face the ...
We present a Lagrangian decomposition approach for the Knapsack Constrained Maximum Spanning Tree problem yielding upper bounds as well as heuristic solutions. This method is furth...
Consider a graph problem which is associated with a parameter, for example, that of finding a longest tour spanning k vertices. The following question is natural: Is there a smal...
The complexity of sphere decoding (SD) has been widely studied due to the importance of this algorithm in obtaining the optimal Maximum Likelihood (ML) performance with lower compl...