We study the combinatorial optimization task of choosing the smoothest map from a given family of maps, which is motivated from motor control unit calibration. The problem is of a ...
Abstract. Tweakable blockciphers, first formalized by Liskov, Rivest, and Wagner [13], are blockciphers with an additional input, the tweak, which allows for variability. An open p...
David Goldenberg, Susan Hohenberger, Moses Liskov,...
AspectJ-like languages are currently ineffective at modularizing heterogeneous concerns that are tightly coupled to the source code of the base program, such as logging, invariant...
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
Abstract--We present an explicit formula for B-spline convolution kernels; these are defined as the convolution of several B-splines of variable widths and degrees . We apply our r...