Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS


Zh. Vychisl. Mat. Mat. Fiz.:
Year:
Volume:
Issue:
Page:
Find




Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register

Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki, 2005, Volume 45, Number 11, Pages 2077–2088 (Mi zvmmf575)  
Efficient estimation formulas for a class of recognition algorithms

S. A. Gromov

Faculty of Computational Mathematics and Cybernetics, Moscow State University, Leninskie gory, Moscow, 119992, Russia
Full-text PDF (1223 kB)
References:
PDF
HTML
Abstract: A class of algorithms based on the ideas by Zhuravlev concerning the description of the estimate evaluation algorithms but applied to another, more complex, set of initial data is considered. The general estimation formulas in this class of algorithms are optimized.
Key words: estimate evaluation algorithm, two-dimensional features, combinatorial transformations, pattern recognition, recognition algorithms.
Received: 14.02.2005
Bibliographic databases:
Document Type: Article
UDC: 519.6:519.712
Language: Russian
Citation: S. A. Gromov, “Efficient estimation formulas for a class of recognition algorithms”, Zh. Vychisl. Mat. Mat. Fiz., 45:11 (2005), 2077–2088; Comput. Math. Math. Phys., 45:11 (2005), 1996–2007
Citation in format AMSBIB
\Bibitem{Gro05}
\by S.~A.~Gromov
\paper Efficient estimation formulas for a class of recognition algorithms
\jour Zh. Vychisl. Mat. Mat. Fiz.
\yr 2005
\vol 45
\issue 11
\pages 2077--2088
\mathnet{http://mi.mathnet.ru/zvmmf575}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=2203231}
\zmath{https://zbmath.org/?q=an:1103.68996}
\transl
\jour Comput. Math. Math. Phys.
\yr 2005
\vol 45
\issue 11
\pages 1996--2007
Linking options:
  • https://www.mathnet.ru/eng/zvmmf575
  • https://www.mathnet.ru/eng/zvmmf/v45/i11/p2077
    • Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Журнал вычислительной математики и математической физики Computational Mathematics and Mathematical Physics
    Statistics & downloads:
    Abstract page:186
    Full-text PDF :91
    References:42
    First page:1
     
      Contact us:
    		  Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024