Abstract. We propose a formal definition of the robustness of association rules for interestingness measures. It is a central concept in the evaluation of the rules and has only be...
Yannick Le Bras, Patrick Meyer, Philippe Lenca, St...
Abstract. We study an online version of Fisher's linear case market. In this market there are m buyers and a set of n dividable goods to be allocated to the buyers. The utilit...
Modularity is a recently introduced quality measure for graph clusterings. It has immediately received considerable attention in several disciplines, and in particular in the compl...
Ulrik Brandes, Daniel Delling, Marco Gaertler, Rob...
Poor quality images can significantly affect the accuracy of iris-recognition systems because they do not have enough feature information. However, existing quality measures have f...
The motion-planning problem, involving the computation of a collision-free path for a moving entity amidst obstacles, is a central problem in fields like Robotics and Game Design....
Clustering has become an increasingly important task in modern application domains. Mostly, the data are originally collected at different sites. In order to extract information f...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle
This paper addresses the incorporation of quality measures to video-based person authentication. A theoretical framework to incorporate quality measures in biometric authentication...
In the biometric verification, authentication is given when a distance of biometric signatures between enrollment and test phases is less than an acceptance threshold, and the perf...
The design of quality measures for approximations of the Pareto-optimal set is of high importance not only for the performance assessment, but also for the construction of multiobj...
Abstract. Modularity, the recently defined quality measure for clusterings, has attained instant popularity in the fields of social and natural sciences. We revisit the rationale b...