• DocumentCode
    509111
  • Title

    Face Recognition Using Marginal Manifold Learning and SVM

  • Author

    Sun, Xia ; Wang, Ziqiang

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou, China
  • Volume
    2
  • fYear
    2009
  • fDate
    21-22 Nov. 2009
  • Firstpage
    276
  • Lastpage
    279
  • Abstract
    Face recognition is one of the most challenging research topics in the field of pattern recognition and computer vision. To efficiently deal with this problem, a novel face recognition algorithm is proposed by using marginal manifold learning and SVM classifier. Extensive experiments show that the proposed algorithm performs much better than other well-known face recognition algorithms.
  • Keywords
    face recognition; support vector machines; SVM; computer vision; face recognition; marginal manifold learning; pattern recognition; Face recognition; Information analysis; Information science; Linear discriminant analysis; Manifolds; Pattern recognition; Principal component analysis; Scattering; Support vector machine classification; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
  • Conference_Location
    Nanchang
  • Print_ISBN
    978-0-7695-3859-4
  • Type

    conf

  • DOI
    10.1109/IITA.2009.66
  • Filename
    5369238
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=509111