This paper reviews a class of methods to perform causal inference in the framework of a structural vector autoregressive model. We consider three different settings. In the first ...
Folksonomies have shown interesting potential for improving information discovery and exploration. Recent folksonomy systems investigate on the use of tag assignments, which combi...
Fabian Abel, Nicola Henze, Daniel Krause, Matthias...
In the paper we introduce an algorithm for matching partially overlapping image-pairs where the object of interest is in motion, even if the motion is discontinuous and in an unstr...
We propose a Visual Search Engine (ViSE) as a semi-automatic component in a surveillance system using networked cameras. The ViSE aims to assist the monitoring operation of huge a...
Anil K. Jain, Itaru Kitahara, Kiyoshi Kogure, Nori...
In recent years, folksonomy becomes a hot topic in many research fields such as complex systems, information retrieval, and recommending systems. It is essential to study the seman...
Kaikuo Xu, Yu Chen, Yexi Jiang, Rong Tang, Yintian...