Peer-to-peer networks and other many-to-many relations have become popular especially for content transfer. To better understand and trust these types of networks, we need formally derived and verified models for them. Due to the large scale and heterogeneity of these networks, it may be difficult and cumbersome to create and analyse complete models. In this paper, we employ the modularisation ...

This paper presents a novel algorithm to spot a known video sequence within a live video stream. The algorithm is split into two branches, a branch to create a digital signature out of the video sequence in question, and another is to search for this sequence within a live video stream. The algorithm is categorized to consume low processing power and satisfy real-time requirements. Thus, this a...

International mobility in academia can enhance the human and social capital of researchers consequently their scientific outcome. However, there is still a very limited understanding different patterns among scholars with various socio-demographic characteristics. The aim this study twofold. First, we investigate to what extent individual factors associate researchers. Second, explore relations...

We study many-to-one matching problems when each firm has substitutable and separable preferences. We analyze the stochastic dominance (sd) Nash equilibria of the game induced by any probabilistic stable matching rule. We show that a unique match is obtained as the outcome of each sd-Nash equilibrium. Furthermore, individual rationality with respect to the true preferences is a necessary and su...

We show that generalized median stable matchings exist in many-to-many matching markets when contracts are strong substitutes and satisfy the law of aggregate demand.

This paper proposes a novel noise-aware character alignment method for bootstrapping statistical machine transliteration from automatically extracted phrase pairs. The model is an extension of a Bayesian many-to-many alignment method for distinguishing nontransliteration (noise) parts in phrase pairs. It worked effectively in the experiments of bootstrapping Japanese-to-English statistical mach...