Clustering is a central unsupervised learning task with a wide variety of applications. Not surprisingly, there exist many clustering algorithms. However, unlike classification ta...
In this paper we prove the discrete compactness property for a wide class of p finite element approximations of non-elliptic variational eigenvalue problems in two and three spac...
Daniele Boffi, Martin Costabel, Monique Dauge, Les...
We propose a probabilistic contract signing protocol that achieves balance even in the presence of an adversary that may delay messages sent over secure channels. To show that this...
We consider a generalization of the codes defined by norm and trace functions on finite fields introduced by Olav Geil. The codes in the new family still satisfy Geil’s dualit...
We provide an automata-theoretic solution to one of the main open questions about the UML standard, namely how to assign a formal semantics to a set of sequence diagrams without c...