We introduce a new state discrimination problem in which we are given additional information about the state after the measurement, or more generally, after a quantum memory bound ...
Manuel A. Ballester, Stephanie Wehner, Andreas Win...
In the recent years, the massive use of in-car navigation systems has symbolized the emergence of location-based services for wayfinding. This market success creates the opportunit...
The nearest-neighbour (1NN) classifier has long been used in pattern recognition, exploratory data analysis, and data mining problems. A vital consideration in obtaining good res...
—Text classification is a widely studied topic in the area of machine learning. A number of techniques have been developed to represent and classify text documents. Most of the t...
—Voting is the process through which a democratic society determines its government. Therefore, voting systems are as important as other well-known critical systems, such as air ...
Davide Balzarotti, Greg Banks, Marco Cova, Viktori...