Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
ing a middleware abstraction layer into wireless sensor networks is a widely accepted solution to facilitate application programming and allow network organization. In this paper,...
Kirsten Terfloth, Georg Wittenburg, Jochen H. Schi...
Abstract. We propose a semantically-secure public-key encryption scheme whose security is polynomialtime equivalent to the hardness of solving random instances of the subset sum pr...
The NP-hard Interval Constrained Coloring (ICC) problem appears in the interpretation of experimental data in biochemistry dealing with protein fragments. Given a set of m integer...
Christian Komusiewicz, Rolf Niedermeier, Johannes ...
A type system is given that eliminates two kinds of covert flows in an imperative programming language. The first kind arises from nontermination and the other from partial oper...