Many database applications need accountability and trace-ability that necessitate retaining previous database states. For a transaction-time database supporting this, the choice o...
Stochastic dependency parsers can achieve very good results when they are trained on large corpora that have been manually annotated. Active learning is a procedure that aims at r...
We show how a preselection of hidden variables can be used to efficiently train generative models with binary hidden variables. The approach is based on Expectation Maximization (...
This paper is concerned with classifying high dimensional data into one of two categories. In various settings, such as when dealing with fMRI and microarray data, the number of v...
Abstract--Multiple description coding offers interesting solutions for error resilient multimedia communications as well as for distributed streaming applications. In this letter, ...
Ivana Radulovic, Pascal Frossard, Ye-Kui Wang, Mis...