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Recognition of a sequence as a structure containing series of recurring vectors from an alphabet

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Abstract

A polynomial-time algorithm is designed for finding an optimal solution of a discrete optimization problem to which a pattern recognition problem is reduced, namely, the noise-proof recognition of a sequence as a structure consisting of contiguous subsequences in the form of series of identical nonzero vectors from an alphabet of vectors in the Euclidean space that alternate with zero vectors.

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References

  1. A. V. Kel’manov and S. A. Khamidullin, “Posterior detection of a given number of identical subsequences in a quasi-periodic sequence,” Comput. Math. Math. Phys. 41, 762–774 (2001).

    MathSciNet  MATH  Google Scholar 

  2. A. V. Kel’manov, S. A. Khamidullin, and L. V. Okol’nishnikova, “A posteriori detection of identical subsequence-fragments in a quasi-periodic sequence,” Sib. Zh. Ind. Mat. 5(2), 94–108 (2002).

    MathSciNet  MATH  Google Scholar 

  3. A. V. Kel’manov and S. A. Khamidullin, “Recognition of a quasi-periodic sequence formed from a given number of identical subsequences,” Sib. Zh. Ind. Mat. 2(1), 53–74 (1999).

    MathSciNet  MATH  Google Scholar 

  4. A. V. Kel’manov, S. A. Khamidullin, and L. V. Okol’nishnikova, “Recognition of a quasi-periodic sequence that includes identical subsequences-fragments,” Sib. Zh. Ind. Mat. 5(4), 38–54 (2002).

    MathSciNet  MATH  Google Scholar 

  5. A. V. Kel’manov and L. V. Mikhailova, “Joint detection of a given number of reference fragments in a quasiperiodic sequence and its partition into segments containing series of identical fragments,” Comput. Math. Math. Phys. 46, 165–181 (2006).

    Article  MathSciNet  Google Scholar 

  6. A. V. Kel’manov and L. V. Mikhailova, “A posteriori joint detection of reference fragments in a quasi-periodic sequence,” Comput. Math. Math. Phys. 48, 850–865 (2008).

    Article  MathSciNet  Google Scholar 

  7. A. V. Kel’manov and L. V. Mikhailova, “Recognition of a numerical sequence that includes series of quasi-periodic recurring standard fragments: The case of a known number of fragments,” Sib. Zh. Ind. Mat. 8(3), 69–86 (2005).

    MathSciNet  MATH  Google Scholar 

  8. A. V. Kel’manov and L. V. Mikhailova, “Recognition of a numerical sequence that includes series of quasi-periodically recurring standard fragments,” Sib. Zh. Ind. Mat. 10(4), 61–75 (2007).

    MathSciNet  MATH  Google Scholar 

  9. A. V. Kel’manov and S. A. Khamidullin, “A posteriori joint detection and distinction of a given number of subsequences in a quasi-periodic sequence,” Sib. Zh. Ind. Mat. 2(2), 106–119 (1999).

    MathSciNet  Google Scholar 

  10. A. V. Kel’manov and L. V. Okol’nishnikova, “A posteriori joint detection and distinguishing of subsequences in a quasi-periodic sequence,” Sib. Zh. Ind. Mat. 3(2), 115–139 (2000).

    MathSciNet  MATH  Google Scholar 

  11. http://math.nsc.ru/~serge/qpsl/.

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Correspondence to A. V. Kel’manov.

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Original Russian Text © A.V. Kel’manov, L.V. Mikhailova, 2013, published in Zhurnal Vychislitel’noi Matematiki i Matematicheskoi Fiziki, 2013, Vol. 53, No. 7, pp. 1212–1224.

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Kel’manov, A.V., Mikhailova, L.V. Recognition of a sequence as a structure containing series of recurring vectors from an alphabet. Comput. Math. and Math. Phys. 53, 1044–1055 (2013). https://doi.org/10.1134/S0965542513070154

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  • DOI: https://doi.org/10.1134/S0965542513070154

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