When no training or adaptation data is available, semisupervised training is a good alternative for processing new domains. We perform Bayesian training of a part-of-speech (POS) ...
Networks are becoming a unifying framework for modeling complex systems and network inference problems are frequently encountered in many fields. Here, I develop and apply a gener...
The new eSBR tool of MPEG-D Universal Speech and Audio Coding offers a great advantage in compression of high frequency content, however it produces audible artifacts for sounds w...
Tomasz Zernicki, Maciej Bartkowiak, Marek Domanski
In this paper, we describe versatile and powerful algorithms for searching guess-and-determine and meet-in-the-middle attacks on byte-oriented symmetric primitives. To demonstrate ...
Charles Bouillaguet, Patrick Derbez, Pierre-Alain ...
Semantically heterogeneous and distributed data sources are quite common in several application domains such as bioinformatics and security informatics. In such a setting, each dat...