We address the automatic classification of scanned input media in order to improve color calibration. Since scanner responses vary significantly according to the type of input, a ...
To fully tap into the potential of heterogeneous machines composed of multicore processors and multiple accelerators, simple offloading approaches in which the main trunk of the ap...
We present a novel approach to relation extraction that integrates information across documents, performs global inference and requires no labelled text. In particular, we tackle ...
Web search engines are facing formidable performance challenges due to data sizes and query loads. The major engines have to process tens of thousands of queries per second over t...
This paper presents a systematic approach to acquiring model appearance information online for monocular modelbased tracking. The acquired information is used to drive a set of co...