Maya R Gupta

Summary

Affiliation: University of Washington
Country: USA

Publications

  1. ncbi request reprint Nonparametric supervised learning by linear interpolation with maximum entropy
    Maya R Gupta
    Department of Electrical Engineering, University of Washington, Seattle 98195, USA
    IEEE Trans Pattern Anal Mach Intell 28:766-81. 2006
  2. doi request reprint Adaptive local linear regression with application to printer color management
    Maya R Gupta
    Department of Electrical Engineering, University of Washington, Seattle, WA 98195, USA
    IEEE Trans Image Process 17:936-45. 2008
  3. doi request reprint Joint deconvolution and classification with applications to passive acoustic underwater multipath
    Hyrum S Anderson
    Department of Electrical and Computer Engineering, University of Washington, Seattle, Washington 98195, USA
    J Acoust Soc Am 124:2973-83. 2008

Collaborators

Detail Information

Publications3

  1. ncbi request reprint Nonparametric supervised learning by linear interpolation with maximum entropy
    Maya R Gupta
    Department of Electrical Engineering, University of Washington, Seattle 98195, USA
    IEEE Trans Pattern Anal Mach Intell 28:766-81. 2006
    ..LIME simulation results support use of the method, and performance on a pipeline integrity classification problem demonstrates that the proposed algorithm has practical value...
  2. doi request reprint Adaptive local linear regression with application to printer color management
    Maya R Gupta
    Department of Electrical Engineering, University of Washington, Seattle, WA 98195, USA
    IEEE Trans Image Process 17:936-45. 2008
    ..Significant improvements in error metrics are shown, indicating that enclosing neighborhoods may be a promising adaptive neighborhood definition for other local learning tasks as well, depending on the density of training samples...
  3. doi request reprint Joint deconvolution and classification with applications to passive acoustic underwater multipath
    Hyrum S Anderson
    Department of Electrical and Computer Engineering, University of Washington, Seattle, Washington 98195, USA
    J Acoust Soc Am 124:2973-83. 2008
    ....