Negative selection algorithms are immune-inspired classifiers that are trained on negative examples only. Classification is performed by generating detectors that match none of ...
Abstract. Many real-time embedded systems involve a collection of independently executing event-driven code blocks, having hard real-time constraints. Portions of such codes when t...
Samarjit Chakraborty, Thomas Erlebach, Lothar Thie...
Abstract. This paper investigates a novel computational problem, namely the Composite Residuosity Class Problem, and its applications to public-key cryptography. We propose a new t...
d Abstract appeared in STACS `98) Joel H. Spencer1 and Katherine St. John2 1 Courant Institute, New York University, New York, NY 10012 2 Department of Mathematics, Santa Clara Uni...
The problem of finding an optimal bipartition of a rectangle set has a direct impact on query performance of dynamic R-trees. During update operations, overflowed nodes need to be...