Homepage of Chandrika Kamath

  • Home
  • Publications (by year)Click to open the Publications (by year) menu
    • Publications: 2020
    • Publications: 2019
    • Publications: 2018
    • Publications: 2017
    • Publications: 2016
    • Publications: 2015
    • Publications: 2014
    • Publications: 2013
    • Publications: 2012
    • Publications: 2011
    • Publications: 2010
    • Publications: 2009
    • Publications: 2008
    • Publications: 2007
    • Publications: 2006
    • Publications: 2005
  • Publications (by project)Click to open the Publications (by project) menu
    • IDEALS
    • Exa-DM
    • Additive Manufacturing
    • SensorStreams
    • GSEP Data Analysis
    • WindSENSE
    • MINDES: Data Mining for Inverse Design
  • Bio
  • Contact Us

IDEALS

IDEALS (Improving Data Exploration and Analysis at Large Scale)

 

Publications:

  • Juliette Franzman, "Understanding the Effects of Tapering on Gaussian Process Regression," student poster, Student and Post-Doc Poster Session, Conference on Data Analysis, February 25-27, 2020, Santa Fe, New Mexico.
  • Ravi Brannon Ponmalai, "Self-Organizing Maps and Their Applications to Data Analysis," student poster, Student and Post-Doc Poster Session, Conference on Data Analysis, February 25-27, 2020, Santa Fe, New Mexico. Honorable Mention.
  • Chandrika Kamath, "Building High-Density, Additively-Manufactured Metal Parts - A Retrospective Look From a Data Analysis Perspective", invited presentation, Conference on Data Analysis, February 25-27, 2020, Santa Fe, New Mexico.
  • C. Kamath, "Compressing unstructured mesh data from simulations using machine learning," International Journal of Data Science and Analytics, Volume 9, pp 113-130, 2020.  https://doi.org/10.1007/s41060-019-00180-6  
  • Chandrika Kamath,"Intelligent Exploration of Large-Scale Data: What Can We Learn in Two Passes?," Proceedings, IEEE International Conference on Big Data, pp 1831-1840, Los Angeles, CA, December 2019. https://doi.org/10.1109/BigData47090.2019.9006272  
  • Chandrika Kamath, "Selecting parameters for image processing algorithms: A case study using retinal image segmentation," Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, November 2019. Available at:  https://www.osti.gov/biblio/1573455-selecting-parameters-image-processing-algorithms-case-study-using-retinal-image-segmentation
  • Ravi Ponmalai and Chandrika Kamath, "Self-Organizing Maps and Their Applications to Data Analysis," LLNL Technical report LLNL-TR-791165, 20 September 2019. Available at:
    https://www.osti.gov/biblio/1566795-self-organizing-maps-applications-data-analysis
  • Juliette Franzman  and Chandrika Kamath, "Understanding the Effects of Tapering on Gaussian Process Regression," LLNL-TR-787826. 19 August 2019. Available at  https://www.osti.gov/biblio/1558874-understanding-effects-tapering-gaussian-process-regression



 



Copyright 2010-2019 Homepage of Chandrika Kamath. All rights reserved.

Web Hosting by Yahoo!