We present a new method, based on graph theory, for bilingual lexicon extraction without relying on resources with limited availability like parallel corpora. The graphs we use re...
One of the main shortcomings of Markov chain Monte Carlo samplers is their inability to mix between modes of the target distribution. In this paper we show that advance knowledge ...
Predicting how well applications may run on modern systems is becoming increasingly challenging. It is no longer sufficient to look at number of floating point operations and commu...
—Visual categorization is important to manage large collections of digital images and video, where textual metadata is often incomplete or simply unavailable. The bag-of-words mo...
Koen E. A. van de Sande, Theo Gevers, Cees G. M. S...
Value prediction is a relatively new technique to increase the Instruction Level Parallelism (ILP) in future microprocessors. An important problem when designing a value predictor...
Bart Goeman, Hans Vandierendonck, Koenraad De Boss...