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Fusion of External Context and Patterns – Learning from Video Streams

  • Ewaryst Rafajłowicz
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 57)

Summary

A mathematical model, which extends the Bayesian problem of pattern recognition by fusion of external context variables and patterns is proposed and investigated. Then, its empirical version is discussed and a learning algorithm for an orthogonal neural net is proposed, which takes context variables into account. The proposed algorithm has a recursive form, which is well suited for learning from a stream of patterns, which arise when features are extracted from a video sequence.

Keywords

Context Variable Learning Sequence Smoke Alarm Recursive Form Pattern Recognition Problem 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Ewaryst Rafajłowicz
    • 1
  1. 1.Institute of Computer Eng. Control and RoboticsWrocław University of, TechnologyWrocławPoland

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