The problem of transfer learning, where information gained in one learning task is used to improve performance in another related task, is an important new area of research. While...
Logical entity recognition in heterogeneous collections of document page images remains a challenging problem since the performance of traditional supervised methods degrade drama...
In this paper, we present a general and an efficient algorithm for automatic selection of new application-specific instructions under hardware resources constraints. The instructi...
Carlo Galuzzi, Elena Moscu Panainte, Yana Yankova,...
—Nanoscale integrated circuits are becoming increasingly sensitive to radiation-induced transient faults (soft errors) due to current technology scaling trends, such as shrinking...
We propose a novel reasoning engine for context-aware ubiquitous computing middleware in this paper. Our reasoning engine supports both rulebased reasoning and machine learning rea...
Donghai Guan, Weiwei Yuan, Seong Jin Cho, Andrey G...