Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Feature Selection Based on Maximizing Separability in Gauss Mixture Model and Its Application to Image Classification


    Contributors:
    Yoon, S. (author) / Gray, R. M. (author)

    Conference:

    International conference, Image processing; ICIP ; 2005 ; Genova, Italy



    Publication date :

    2005-01-01


    Size :

    4 pages


    Remarks:

    IEEE cat. no. 05CH37687



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English





    Separability Based Tree Structured Local Basis Selection for Texture Classification

    Etemad, K. / Chellappa, R. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994


    An unsupervised feature selection algorithm with feature ranking for maximizing performance of the classifiers

    Singh, D. A. / Balamurugan, S. A. / Leavline, E. J. | British Library Online Contents | 2015



    Image retrieval using color histograms generated by Gauss mixture vector quantization

    Jeong, S. / Won, C. S. / Gray, R. M. | British Library Online Contents | 2004