Regular talks

Hierarchical Framework for Target Motion Analysis Algorithms

Number of new data processing algorithms in your area of interest is constantly growing. You want to be able to compare them, but you have no time to implement them. Perhaps these algorithms are not as new as it seems. Sort out algebraic patterns commonly used in data processing algorithms, construct meta-algorithm and obtain particular algorithms as special cases.

The report describes the experience of a hierarchical framework design for the dynamic generation of Target Motion Analysis algorithms.

Denis Stepanov

Lead researcher, JSC Scientific and Production Concern “Aurora”; St. Petersburg National Unversity of Information Technologies, Mechanics & Optics

Denis is leading specialist on mathematical and algorithmical support of Aurora. While his main focus is management systems statistical data processing algorithms, he is also interested in applied statistics and machine education. Since 2000 Denis teaches statistics at SPbSU and SPbNUITMO.