Long Range Correlations
Long range correlations
In the project, we develop several long range correlation mixture models that generalizes well known mixture models and topic models. We derive variational inference methods and implement efficient inference algorithms.
Such models can be applied to a wide range of data, including two-dimensional nuclear magnetics resonance (NMR) spectra of natural compounds and metabolites and text documents with referencing geo-locations.
Road map
- Publication of techical report of the most simple long range corration mixture model
- Reference implementation of an inference algorithm
- Analysis of natural compounds, metabolites and two-dimensional nuclear magnetics resonance (NMR) spectraAnalysis of text documents referencing geo-location
Contact: Alexander Hinneburg, hinneburg@informatik.uni-halle.de