Chandrika Kamath

Orcid: 0000-0002-0188-8174

Affiliations:
  • Lawrence Livermore National Laboratory, CA, USA
  • University of Illinois Urbana-Champaign, IL, USA (PhD 1986)


According to our database1, Chandrika Kamath authored at least 62 papers between 1986 and 2024.

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Bibliography

2024
Classification of orbits in Poincaré maps using machine learning.
Int. J. Data Sci. Anal., April, 2024

2023
Spatio-Temporal Surrogates for Interaction of a Jet with High Explosives: Part II - Clustering Extremely High-Dimensional Grid-Based Data.
CoRR, 2023

Spatio-Temporal Surrogates for Interaction of a Jet with High Explosives: Part I - Analysis with a Small Sample Size.
CoRR, 2023

Data Mining for Faster, Interpretable Solutions to Inverse Problems: A Case Study Using Additive Manufacturing.
CoRR, 2023

Intelligent sampling for surrogate modeling, hyperparameter optimization, and data analysis.
CoRR, 2023

2021
Randomized Algorithms for Scientific Computing (RASC).
CoRR, 2021

2020
Compressing unstructured mesh data from simulations using machine learning.
Int. J. Data Sci. Anal., 2020

2019
Intelligent Exploration of Large-Scale Data: What Can We Learn in Two Passes?
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Selecting Parameters for Image Processing Algorithms: A Case Study Using Retinal Image Segmentation.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Regression with small data sets: a case study using code surrogates in additive manufacturing.
Knowl. Inf. Syst., 2018

Compressing Unstructured Mesh Data Using Spline Fits, Compressed Sensing, and Regression Methods.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017
Learning to Compress Unstructured Mesh Data from Simulations.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

2016
Detecting ramp events in wind energy generation using affinity evaluation on weather data.
Stat. Anal. Data Min., 2016

2015
Evaluation of connected-component labeling algorithms for distributed-memory systems.
Parallel Comput., 2015

Identifying and Exploiting Diurnal Motifs in Wind Generation Time Series Data.
Int. J. Pattern Recognit. Artif. Intell., 2015

Practical Considerations in Applying Compressed Sensing to Simulation Data.
Proceedings of the 2015 Data Compression Conference, 2015

2014
Incremental SVD for Insight into Wind Generation.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

2012
Using data mining to enable integration of wind resources on the power grid.
Stat. Anal. Data Min., 2012

Finding Motifs in Wind Generation Time Series Data.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Fast and Effective Lossy Compression Algorithms for Scientific Datasets.
Proceedings of the Euro-Par 2012 Parallel Processing - 18th International Conference, 2012

Extending MC-SURE to denoise sensor data streams.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011
Robust Extraction of Statistics from Images of Material Fragmentation.
Int. J. Image Graph., 2011

2009
Application-Driven Data Analysis.
Stat. Anal. Data Min., 2009

Identification of Coherent Structures in Three-Dimensional Simulations of a Fluid-Mix Problem.
Int. J. Image Graph., 2009

Scientific Data Analysis.
Proceedings of the Scientific Data Management - Challenges, Technology, and Deployment., 2009

Scientific Data Mining - A Practical Perspective.
SIAM, ISBN: 978-0-898716-75-7, 2009

2008
Data Analysis in the 21st Century.
Stat. Anal. Data Min., 2008

Tracking non-rigid structures in computer simulations.
Proceedings of the International Conference on Image Processing, 2008

2007
Image Analysis for Validation of Simulations of a Fluid Mix Problem.
Proceedings of the International Conference on Image Processing, 2007

Estimating Missing Features to Improve Multimedia Retrieval.
Proceedings of the International Conference on Image Processing, 2007

2006
Graph-based Methods for Orbit Classification.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Comparing shape and texture features for pattern recognition in simulation data.
Proceedings of the Image Processing: Algorithms and Systems IV, 2006

2005
An empirical comparison of combinations of evolutionary algorithms and neural networks for classification problems.
IEEE Trans. Syst. Man Cybern. Part B, 2005

Robust Background Subtraction with Foreground Validation for Urban Traffic Video.
EURASIP J. Adv. Signal Process., 2005

Salient points for tracking moving objects in video.
Proceedings of the Electronic Imaging: Image and Video Communications and Processing 2005, 2005

2004
Investigation of implicit active contours for scientific image segmentation.
Proceedings of the Visual Communications and Image Processing 2004, 2004

Robust techniques for background subtraction in urban traffic video.
Proceedings of the Visual Communications and Image Processing 2004, 2004

Effective localized regression for damage detection in large complex mechanical structures.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Feature selection in scientific applications.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Retrieval of similar objects in simulation data using machine learning techniques.
Proceedings of the Image Processing: Algorithms and Systems III, 2004

Retrieval using texture features in high-resolution multispectral satellite imagery.
Proceedings of the Data Mining and Knowledge Discovery: Theory, 2004

2003
Inducing oblique decision trees with evolutionary algorithms.
IEEE Trans. Evol. Comput., 2003

Evolving neural networks to identify bent-double galaxies in the FIRST survey.
Neural Networks, 2003

Denoising through wavelet shrinkage: an empirical study.
J. Electronic Imaging, 2003

Comparison of PDE-based non-linear anistropic diffusion techniques for image denoising.
Proceedings of the Image Processing: Algorithms and Systems II, 2003

Use of machine vision techniques to detect human settlements in satellite images.
Proceedings of the Image Processing: Algorithms and Systems II, 2003

Localized Prediction of Continuous Target Variables Using Hierarchical Clustering.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Damage prediction in structural mechanics using partitioning approach.
Proceedings of the Data Mining and Knowledge Discovery: Theory, 2003

2002
Workshop Report: The Fourth Workshop on Mining Scientific Datasets.
SIGKDD Explor., 2002

Classifying bent-double galaxies.
Comput. Sci. Eng., 2002

Dimension reduction techniques and the classification of bent double galaxies.
Comput. Stat. Data Anal., 2002

Approximate Splitting for Ensembles of Trees using Histograms.
Proceedings of the Second SIAM International Conference on Data Mining, 2002

Learning to Classify Galaxy Shapes Using the EM Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

PDE-based nonlinear diffusion techniques for denoising scientific and industrial images: an empirical study.
Proceedings of the Image Processing: Algorithms and Systems, 2002

Probabilistic Model-Based Detection of Bent-Double Radio Galaxies.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Evolving Neural Networks For The Classification Of Galaxies.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

2000
Using Evolutionary Algorithms to Induce Oblique Decision Trees.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

1994
DXML: A High-performance Scientific Subroutine Library.
Digit. Tech. J., 1994

1991
Projection Methods on a Distributed Memory MIMD Multiprocessor.
Proceedings of the Fifth SIAM Conference on Parallel Processing for Scientific Computing, 1991

1990
Implementation of two projection methods on a shared memory multiprocessor: DEC VAX 6240.
Parallel Comput., 1990

1989
A projection method for solving nonsymmetric linear systems on multiprocessors.
Parallel Comput., 1989

1986
Solution of Nonsymmetric Systems of Equations on a Multiprocessor
PhD thesis, 1986


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