We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Probabilistic databases have received considerable attention recently due to the need for storing uncertain data produced by many real world applications. The widespread use of pr...
In this paper we discuss the design, acquisition and preprocessing of a Czech audio-visual speech corpus. The corpus is intended for training and testing of existing audio-visual ...
Preference queries aim to retrieve from large databases those objects that better match user’s requirements. Approaches proposed so far in the DB field for specifying preference...