Graphical models have become the basic framework for topic based probabilistic modeling. Especially models with latent variables have proved to be effective in capturing hidden str...
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Video query by semantic keywords is one of the most challenging research issues in video data management. To go beyond low-level similarity and access video data content by semanti...
Milind R. Naphade, Igor Kozintsev, Thomas S. Huang
Computational simulation is an established method to gain insight into cellular processes. As the resulting data sets are usually large and complex, visualization can play a signi...
Andrea Unger, Enrico Gutzeit, Matthias Jeschke, He...
Schema matching is the task of matching between concepts describing the meaning of data in various heterogeneous, distributed data sources. With many heuristics to choose from, sev...