Using directional antennas in wireless ad hoc networks can significantly improve network performance. However, the deafness problem greatly limits the network performance. This pa...
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
In this paper, we propose a new method for computing and applying language model look-ahead in a dynamic network decoder, exploiting the sparseness of backing-off n-gram language ...
In this paper, we propose a new transparent built-in self-test ( TBIST ) method to test multiple embedded memory arrays with various sizes in parallel. First, a new transparent tes...
A large body of research literature has focused on improving the performance of longest prefix match IP-lookup. More recently, embedded memory based architectures have been propos...
Sailesh Kumar, Michela Becchi, Patrick Crowley, Jo...