In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
Abstract. New methods of data collection, in particular the wide range of sensors and sensor networks that are being constructed, with the ability to collect real-time data streams...
This paper describes how to automatically extract the presence and location of geometrical irregularities on a surface of revolution. To this end a partial 3D scan of the workpiec...
Kasper Claes, Thomas P. Koninckx, Herman Bruyninck...
Homologydetection in large data bases is probably the most time consuming operation in molecular genetic computing systems. Moreover, the progresses made all around the world conc...
—Traditional hierarchical namespaces are not sufficient for representing and managing the rich semantics of today’s storage systems. In this paper, we discuss the principles o...
Zhichen Xu, Magnus Karlsson, Chunqiang Tang, Chris...