Transfer learning concerns applying knowledge learned in one task (the source) to improve learning another related task (the target). In this paper, we use structure mapping, a ps...
Abstract. We present a method for using aligned ontologies to merge taxonomically organized data sets that have apparently compatible schemas, but potentially different semantics f...
This paper presents a case study of a single-chip 3G WCDMA/FDD basestation implementation based on a circuit-switched network on chip. As the amount of transistors on a chip conti...
Schema merging is the process of consolidating multiple schemas into a unified view. The task becomes particularly challenging when the schemas are highly heterogeneous and autono...
Xiang Li 0002, Christoph Quix, David Kensche, Sand...
Abstract. We propose an efficient alignment method for textured DooSabin subdivision surface templates. A variation of the inverse compositional image alignment is derived by intro...