Preprints of the Keldysh Institute of Applied Mathematics
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS


Keldysh Institute preprints:
Year:
Volume:
Issue:
Page:
Find




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

Preprints of the Keldysh Institute of Applied Mathematics, 2019, 148, 12 pp.
DOI: https://doi.org/10.20948/prepr-2019-148 (Mi ipmp2786) 		 
A research of characteristics of the recognition method

M. B. Gavrikov, N. V. Pestryakova
Full-text PDF (879 kB)
References:
PDF
HTML
DOI: https://doi.org/10.20948/prepr-2019-148
Abstract: The results of a statistical study of the evaluation function and the vector of primary features are described obtained by recognizing a set that is a given modification of the training base of hand-written characters using the recognition method developed by the authors.
Keywords: classification, polynomial regression, printed and hand-printed symbols.
Bibliographic databases:
Document Type: Preprint
Language: Russian
Citation: M. B. Gavrikov, N. V. Pestryakova, “A research of characteristics of the recognition method”, Keldysh Institute preprints, 2019, 148, 12 pp.
Citation in format AMSBIB
\Bibitem{GavPes19}
\by M.~B.~Gavrikov, N.~V.~Pestryakova
\paper A research of characteristics of the recognition method
\jour Keldysh Institute preprints
\yr 2019
\papernumber 148
\totalpages 12
\mathnet{http://mi.mathnet.ru/ipmp2786}
\crossref{https://doi.org/10.20948/prepr-2019-148}
\elib{https://elibrary.ru/item.asp?id=41676169}
Linking options:
  • https://www.mathnet.ru/eng/ipmp2786
  • https://www.mathnet.ru/eng/ipmp/y2019/p148
    • Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Препринты Института прикладной математики им. М. В. Келдыша РАН
    Statistics & downloads:
    Abstract page:100
    Full-text PDF :30
    References:17
     
      Contact us:
    		  Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024