Method development in neural machine learning for
- structure discovery in complex, high-dimensional data, visualization
- segmentation and classification, pattern recognition, parameter inference, variable selection
- data fusion, “precision” data mining, knowledge discovery
- knowledge integration (model fusion)
Application to information extraction from multi- and hyperspectral data/imagery and multi-variate heterogeneous data, for
- planetary surface composition research; kinematics and composition of astronomical objects;
environmental / resource mapping; target detection;
- medical image and data analysis.
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