The newly emerging field of Network Science deals with the tasks of modelling, comparing and summarizing large data sets that describe complex interactions. Because pairwise affin...
We transform the outputs of each hidden neuron in a multi-layer perceptron network to have zero output and zero slope on average, and use separate shortcut connections to model th...
In this paper an efficient method of small object localization is proposed that integrates detection and tracking. The system is initialized using a strong detector and then it lo...
As the clock frequencies used in industrial applications increase, the timing requirements imposed on routing problems become tighter. So, it becomes important to route the nets w...
This paper introduces SymPLFIED, a program-level framework which allows specification of arbitrary error detectors and the verification of their efficacy against hardware errors. ...
Karthik Pattabiraman, Nithin Nakka, Zbigniew Kalba...