One of the main shortcomings of Markov chain Monte Carlo samplers is their inability to mix between modes of the target distribution. In this paper we show that advance knowledge ...
In the information retrieval context, resource collections are frequently classified using thesauri. However, the limited semantics provided by thesauri restricts the collection s...
Javier Lacasta, Javier Nogueras-Iso, Jacques Telle...
Researchers have proposed a variety of metrics to measure important graph properties, for instance, in social, biological, and computer networks. Values for a particular graph met...
Priya Mahadevan, Dmitri V. Krioukov, Kevin R. Fall...
The study of synchronization has received much attention in a variety of applications, ranging from coordinating sensors in wireless networks to models of fireflies flashing in...
Abstract. Building visual recognition models that adapt across different domains is a challenging task for computer vision. While feature-learning machines in the form of hierarchi...
Amr Ahmed, Kai Yu, Wei Xu, Yihong Gong, Eric P. Xi...