A large annotated corpus is critical to the development of robust optical character recognizers (OCRs). However, creation of annotated corpora is a tedious task. It is laborious, ...
We explore the problem of budgeted machine learning, in which the learning algorithm has free access to the training examples’ labels but has to pay for each attribute that is s...
Kun Deng, Chris Bourke, Stephen D. Scott, Julie Su...
—This paper presents an energy-efficient turbo decoder based on border metric encoding, which is especially suitable for non-binary circular turbo codes. In the proposed method, ...
This paper describes work on Named Entity Recognition (NER), in preparation for Relation Extraction (RE), on data from a historical archive organisation. As is often the case in t...
—The distribution of the delay is a very important measure to determine the performance of a WLAN. Indeed, realtime applications typically require that their packets reach their ...
Paschalis Raptis, Vasileios Vitsas, Albert Banchs,...