Recently, there has been strong interest in large-scale simulations of biological spiking neural networks (SNN) to model the human brain mechanisms and capture its inference capabi...
Mohammad A. Bhuiyan, Vivek K. Pallipuram, Melissa ...
—Many real world learning problems can be recast as multi-task learning problems which utilize correlations among different tasks to obtain better generalization performance than...
Xi Chen, Weike Pan, James T. Kwok, Jaime G. Carbon...
Today’s network intrusion prevention systems (IPSs) must perform increasingly sophisticated analysis—parsing protocols and interpreting application dialogs rather than simply ...
Pattern matching and analysis over network data streams is increasingly becoming an essential primitive of network monitoring systems. It is a fundamental part of most intrusion d...
Scheduling algorithms used in compilers traditionally focus on goals such as reducing schedule length and register pressure or producing compact code. In the context of a hardware...
Kevin Fan, Manjunath Kudlur, Hyunchul Park, Scott ...