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Conclusion

  • Andrey V. Savchenko
Chapter
Part of the SpringerBriefs in Optimization book series (BRIEFSOPTI)

Abstract

In this book, we presented several recent advances of search techniques in intelligent classification systems with the medium-sized databases. We particularly focused on the small sample size problem, when only few instances are available for each class. We reduced the classification task to the hypothesis testing for homogeneity of features. Based on this approach the methodology of segment homogeneity testing was introduced. In this chapter we discuss potential applications of this methodology to increase the computing efficiency of existing intelligent systems with the large number of classes.

Keywords

Speech Recognition Augmented Reality Speaker Identification Granular Computing Audiovisual Speech 
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.

Copyright information

© The Author(s) 2016

Authors and Affiliations

  • Andrey V. Savchenko
    • 1
  1. 1.Laboratory of Algorithms and Technologies for Network AnalysisNational Research University Higher School of EconomicsNizhny NovgorodRussia

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