• DocumentCode
    1583420
  • Title

    Feature Selection based on QFT

  • Author

    Zhou, Rigui ; Jiang, Nan ; Yang, Shuqun ; Ding, Qiulin

  • Author_Institution
    Nanjing Univ. of Aeronaut. & Astronaut., Nanjing
  • Volume
    1
  • fYear
    2007
  • Firstpage
    159
  • Lastpage
    163
  • Abstract
    Employing the powerful tool of the Quantum Fourier Transform, This paper presents an algorithm of pattern feature selection.Moreover.the proposed algorithm can perform feature selection tasks exponentially faster than its classical counterpart due to quantum parallelism. The features extracted by this algorithm are helpful to the pattern recognition or image recognition.And this paper proved the feasibility of the algorithm through theory deduction and validate serviceability by a simple pattern figure.
  • Keywords
    Fourier transforms; feature extraction; quantum theory; feature extraction; image recognition; pattern feature selection; pattern recognition; quantum Fourier transform; quantum parallelism; Computer science; Concurrent computing; Extraterrestrial measurements; Pattern recognition; Polynomials; Quantum computing; Quantum entanglement; Quantum mechanics; Registers; Space technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2007. ICNC 2007. Third International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-2875-5
  • Type

    conf

  • DOI
    10.1109/ICNC.2007.384
  • Filename
    4344174