Abstract. Since the appearance of public-key cryptography in the seminal DiffieHellman paper, many new schemes have been proposed and many have been broken. Thus, the simple fact t...
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
We introduce a new model of molecular computation that we call the sticker model. Like many previous proposals it makes use of DNA strands as the physical substrate in which infor...
Sam T. Roweis, Erik Winfree, Richard Burgoyne, Nic...
This paper examines the relationship between wavelet-based image processing algorithms and variational problems. Algorithms are derived as exact or approximate minimizers of varia...
Antonin Chambolle, Ronald A. DeVore, Nam-Yong Lee,...
—In this paper, we study the trade-off between network throughput and fairness in a multi-channel enabled WSN. Traditional approaches attempt to solve the two problems in an isol...