Balanced Feistel networks (BFN) have been widely used for constructing efficient block ciphers. They are known to provide high efficiency with respect to differential and linear c...
We present a new estimation principle for parameterized statistical models. The idea is to perform nonlinear logistic regression to discriminate between the observed data and some...
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...
In recent years, compressive sensing attracts intensive attentions in the field of statistics, automatic control, data mining and machine learning. It assumes the sparsity of the ...
Software intellectual property (SWIP) is a critical component of increasingly complex field programmable gate arrays (FPGA)-based system-on-chip (SOC) designs. As a result, develop...
Michael A. Gora, Abhranil Maiti, Patrick Schaumont