PRINCESS
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PRINCESS Presentation of the TSU Tula team

The members active in the PRINCESS project are:

Our PRINCESS Activites

  • Kernel fusion for on-line signature verification
  • Algorithms of image analysis on the basis of dynamic programming and tree-like hidden Markov models
  • Pattern recognition in spatial data sets

Our publications

  1. Kopylov A.V. Dynamic programming procedures for image analysis. Proceedings of the Eight IASTED International Conference INTELLIGENT SYSTEMS AND CONTROL, October 31 - November 2, 2005, Cambridge, USA.: ACTA Press, pp. 404-409.- 515 p. (in English) .pdf
  2. Sulimova V.V., Mottl V.V., Seredin O.S., Krasotkina O.V. Kernel fusion for on-line signature verification. Proc. of All-Russian Conference on Mathematical Methods of Pattern Recognition-12, 2005, pp. 456-459. (in Russian) .pdf
  3. Ermakov A.S. Choice of finite-dimensional basis for embedding faces into linear space for featureless person identification. Proc. of International Conference on Intellectual Data Mining, Alushta, Crimea, 2006 (in Russian) .pdf
  4. Mottl V.V., Sulimova V.V., Tatarchuk A.I. Automatic Choice of Most Informative Fragments at Recognition of Signals of Different Lengths. State Messenger of Mathematics and Informatics, 2006. (in Russian) .pdf
  5. Dvoenko S.D., Savenkov D.S. Tree-like Markov models for the interrelated data arrays analysis. Proc. of International Conference on Intellectual Data Mining, Alushta, Crimea, 2006. (in Russian) .pdf
  6. Dvoenko S.D., Savenkov D.S. Tree-like Markov models for the interrelated data arrays analysis. Artificial Intelligence, 2'2006, pp. 38-41. (in Russian) .pdf
  7. Sulimova V.V., Mottl V.V., Tatarchuk A.I. Multi-kernel approach to on-line signature verification. (in English) .pdf

Maintained by A. Yermakov, yermakov@uic.tula.ru


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