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ORCIDChandrika Kamath 0001
Person information
- affiliation: Lawrence Livermore National Laboratory, CA, USA
- affiliation (PhD 1986): University of Illinois Urbana-Champaign, IL, USA
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Books and Theses
- 2009
[b2]Chandrika Kamath:
Scientific Data Mining - A Practical Perspective. SIAM 2009, ISBN 978-0-898716-75-7, pp. I-XVIII, 1-286- 1986
- [b1]Chandrika Kamath:
Solution of Nonsymmetric Systems of Equations on a Multiprocessor. University of Illinois Urbana-Champaign, USA, 1986
Journal Articles
- 2024
- [j22]Chandrika Kamath:
Classification of orbits in Poincaré maps using machine learning. Int. J. Data Sci. Anal. 17(3): 305-321 (2024) - 2020
- [j21]Chandrika Kamath
:
Compressing unstructured mesh data from simulations using machine learning. Int. J. Data Sci. Anal. 9(1): 113-130 (2020) - 2018
- [j20]Chandrika Kamath, Ya-Ju Fan:
Regression with small data sets: a case study using code surrogates in additive manufacturing. Knowl. Inf. Syst. 57(2): 475-493 (2018) - 2016
- [j19]Ya-Ju Fan, Chandrika Kamath:
Detecting ramp events in wind energy generation using affinity evaluation on weather data. Stat. Anal. Data Min. 9(3): 155-173 (2016) - 2015
- [j18]Ya-Ju Fan, Chandrika Kamath:
Identifying and Exploiting Diurnal Motifs in Wind Generation Time Series Data. Int. J. Pattern Recognit. Artif. Intell. 29(2): 1550012:1-1550012:25 (2015) - [j17]Jeremy Iverson, Chandrika Kamath, George Karypis:
Evaluation of connected-component labeling algorithms for distributed-memory systems. Parallel Comput. 44: 53-68 (2015) - 2012
- [j16]Chandrika Kamath, Ya-Ju Fan:
Using data mining to enable integration of wind resources on the power grid. Stat. Anal. Data Min. 5(5): 410-427 (2012) - 2011
- [j15]Chandrika Kamath, Omar A. Hurricane:
Robust Extraction of Statistics from Images of Material Fragmentation. Int. J. Image Graph. 11(3): 377-401 (2011) - 2009
- [j14]Chandrika Kamath, Abel Gezahegne, Paul L. Miller:
Identification of Coherent Structures in Three-Dimensional Simulations of a Fluid-Mix Problem. Int. J. Image Graph. 9(3): 389-410 (2009) - [j13]Chandrika Kamath:
Application-Driven Data Analysis. Stat. Anal. Data Min. 1(5): 285 (2009) - 2008
- [j12]Arnold Goodman, Chandrika Kamath, Vipin Kumar:
Data Analysis in the 21st Century. Stat. Anal. Data Min. 1(1): 1-3 (2008) - 2005
- [j11]Sen-Ching S. Cheung, Chandrika Kamath:
Robust Background Subtraction with Foreground Validation for Urban Traffic Video. EURASIP J. Adv. Signal Process. 2005(14): 2330-2340 (2005) - [j10]Erick Cantú-Paz, Chandrika Kamath:
An empirical comparison of combinations of evolutionary algorithms and neural networks for classification problems. IEEE Trans. Syst. Man Cybern. Part B 35(5): 915-927 (2005) - 2003
- [j9]Imola K. Fodor, Chandrika Kamath:
Denoising through wavelet shrinkage: an empirical study. J. Electronic Imaging 12(1): 151-160 (2003) - [j8]Erick Cantú-Paz, Chandrika Kamath:
Evolving neural networks to identify bent-double galaxies in the FIRST survey. Neural Networks 16(3-4): 507-517 (2003) - [j7]Erick Cantú-Paz, Chandrika Kamath:
Inducing oblique decision trees with evolutionary algorithms. IEEE Trans. Evol. Comput. 7(1): 54-68 (2003) - 2002
- [j6]Imola K. Fodor, Chandrika Kamath:
Dimension reduction techniques and the classification of bent double galaxies. Comput. Stat. Data Anal. 41(1): 91-122 (2002) - [j5]Chandrika Kamath, Erick Cantú-Paz, Imola K. Fodor, Nu Ai Tang:
Classifying bent-double galaxies. Comput. Sci. Eng. 4(4): 52-60 (2002) - [j4]Chandrika Kamath:
Workshop Report: The Fourth Workshop on Mining Scientific Datasets. SIGKDD Explor. 3(2): 68-69 (2002) - 1994
- [j3]Chandrika Kamath, Roy Ho, Dwight P. Manley:
DXML: A High-performance Scientific Subroutine Library. Digit. Tech. J. 6(3) (1994) - 1990
- [j2]Chandrika Kamath, Sisira Weeratunga:
Implementation of two projection methods on a shared memory multiprocessor: DEC VAX 6240. Parallel Comput. 16(2-3): 375-382 (1990) - 1989
- [j1]Chandrika Kamath, Ahmed H. Sameh:
A projection method for solving nonsymmetric linear systems on multiprocessors. Parallel Comput. 9(3): 291-312 (1989)
Conference and Workshop Papers
- 2019
- [c32]Chandrika Kamath:
Selecting Parameters for Image Processing Algorithms: A Case Study Using Retinal Image Segmentation. ACSSC 2019: 964-968 - [c31]Chandrika Kamath:
Intelligent Exploration of Large-Scale Data: What Can We Learn in Two Passes? IEEE BigData 2019: 1831-1840 - 2018
- [c30]Chandrika Kamath, Ya-Ju Fan:
Compressing Unstructured Mesh Data Using Spline Fits, Compressed Sensing, and Regression Methods. GlobalSIP 2018: 316-320 - 2017
- [c29]Chandrika Kamath:
Learning to Compress Unstructured Mesh Data from Simulations. DSAA 2017: 621-630 - 2015
- [c28]Ya-Ju Fan, Chandrika Kamath:
Practical Considerations in Applying Compressed Sensing to Simulation Data. DCC 2015: 479 - 2014
- [c27]Chandrika Kamath, Ya-Ju Fan:
Incremental SVD for Insight into Wind Generation. ICMLA 2014: 441-446 - 2012
- [c26]Mandoye Ndoye, Chandrika Kamath:
Extending MC-SURE to denoise sensor data streams. ACSCC 2012: 782-786 - [c25]Jeremy Iverson, Chandrika Kamath, George Karypis:
Fast and Effective Lossy Compression Algorithms for Scientific Datasets. Euro-Par 2012: 843-856 - [c24]Chandrika Kamath, Ya-Ju Fan:
Finding Motifs in Wind Generation Time Series Data. ICMLA (2) 2012: 481-486 - 2008
- [c23]Abel Gezahegne, Chandrika Kamath:
Tracking non-rigid structures in computer simulations. ICIP 2008: 1548-1551 - 2007
- [c22]Abraham Bagherjeiran, Nicole S. Love, Chandrika Kamath:
Estimating Missing Features to Improve Multimedia Retrieval. ICIP (2) 2007: 233-236 - [c21]Chandrika Kamath, Paul L. Miller:
Image Analysis for Validation of Simulations of a Fluid Mix Problem. ICIP (3) 2007: 525-528 - 2006
- [c20]Shawn D. Newsam, Chandrika Kamath:
Comparing shape and texture features for pattern recognition in simulation data. Image Processing: Algorithms and Systems 2006: 106-117 - [c19]Abraham Bagherjeiran, Chandrika Kamath:
Graph-based Methods for Orbit Classification. SDM 2006: 574-578 - 2005
- [c18]Chandrika Kamath, Abel Gezahegne, Shawn D. Newsam, George Marlon Roberts:
Salient points for tracking moving objects in video. Electronic Imaging: Image and Video Communications and Processing 2005 - 2004
- [c17]Shawn D. Newsam, Chandrika Kamath:
Retrieval using texture features in high-resolution multispectral satellite imagery. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2004: 21-32 - [c16]Erick Cantú-Paz, Sen-Ching S. Cheung, Chandrika Kamath:
Retrieval of similar objects in simulation data using machine learning techniques. Image Processing: Algorithms and Systems 2004: 251-258 - [c15]Aleksandar Lazarevic, Ramdev Kanapady, Chandrika Kamath:
Effective localized regression for damage detection in large complex mechanical structures. KDD 2004: 450-459 - [c14]Erick Cantú-Paz, Shawn D. Newsam, Chandrika Kamath:
Feature selection in scientific applications. KDD 2004: 788-793 - [c13]Sen-Ching S. Cheung, Chandrika Kamath:
Robust techniques for background subtraction in urban traffic video. VCIP 2004 - [c12]Sisira K. Weeratunga, Chandrika Kamath:
Investigation of implicit active contours for scientific image segmentation. VCIP 2004 - 2003
- [c11]Aleksandar Lazarevic, Ramdev Kanapady, Kumar K. Tamma, Chandrika Kamath, Vipin Kumar:
Damage prediction in structural mechanics using partitioning approach. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2003: 202-210 - [c10]Aleksandar Lazarevic, Ramdev Kanapady, Chandrika Kamath, Vipin Kumar, Kumar K. Tamma:
Localized Prediction of Continuous Target Variables Using Hierarchical Clustering. ICDM 2003: 139-146 - [c9]Sisira Weeratunga, Chandrika Kamath:
Comparison of PDE-based non-linear anistropic diffusion techniques for image denoising. Image Processing: Algorithms and Systems 2003: 201-212 - [c8]Chandrika Kamath, Sailes K. Sengupta, Douglas N. Poland, John A. H. Futterman:
Use of machine vision techniques to detect human settlements in satellite images. Image Processing: Algorithms and Systems 2003: 270-280 - 2002
- [c7]Erick Cantú-Paz, Chandrika Kamath:
Evolving Neural Networks For The Classification Of Galaxies. GECCO 2002: 1019-1026 - [c6]Sergey Kirshner, Igor V. Cadez, Padhraic Smyth, Chandrika Kamath, Erick Cantú-Paz:
Probabilistic Model-Based Detection of Bent-Double Radio Galaxies. ICPR (2) 2002: 499-502 - [c5]Sisira Weeratunga, Chandrika Kamath:
PDE-based nonlinear diffusion techniques for denoising scientific and industrial images: an empirical study. Image Processing: Algorithms and Systems 2002: 279-290 - [c4]Sergey Kirshner, Igor V. Cadez, Padhraic Smyth, Chandrika Kamath:
Learning to Classify Galaxy Shapes Using the EM Algorithm. NIPS 2002: 1497-1504 - [c3]Chandrika Kamath, Erick Cantú-Paz, David Littau:
Approximate Splitting for Ensembles of Trees using Histograms. SDM 2002: 370-383 - 2000
- [c2]Erick Cantú-Paz, Chandrika Kamath:
Using Evolutionary Algorithms to Induce Oblique Decision Trees. GECCO 2000: 1053-1060 - 1991
- [c1]Chandrika Kamath, Sisira Weeratunga:
Projection Methods on a Distributed Memory MIMD Multiprocessor. PPSC 1991: 92-97
Parts in Books or Collections
- 2009
- [p1]Chandrika Kamath, Nikil Wale, George Karypis, Gaurav Pandey, Vipin Kumar, Krishna Rajan, Nagiza F. Samatova, Paul Breimyer, Guruprasad Kora, Chongle Pan, Srikanth B. Yoginath:
Scientific Data Analysis. Scientific Data Management 2009
Editorship
- 2014
- [e4]Mohammed Javeed Zaki, Zoran Obradovic, Pang-Ning Tan, Arindam Banerjee, Chandrika Kamath, Srinivasan Parthasarathy:
Proceedings of the 2014 SIAM International Conference on Data Mining, Philadelphia, Pennsylvania, USA, April 24-26, 2014. SIAM 2014, ISBN 978-1-61197-344-0 [contents] - 2005
- [e3]Hillol Kargupta, Jaideep Srivastava, Chandrika Kamath, Arnold Goodman:
Proceedings of the 2005 SIAM International Conference on Data Mining, SDM 2005, Newport Beach, CA, USA, April 21-23, 2005. SIAM 2005, ISBN 978-0-89871-593-4 [contents] - 2004
- [e2]Michael W. Berry, Umeshwar Dayal, Chandrika Kamath, David B. Skillicorn:
Proceedings of the Fourth SIAM International Conference on Data Mining, Lake Buena Vista, Florida, USA, April 22-24, 2004. SIAM 2004, ISBN 978-0-89871-568-2 [contents] - 2003
- [e1]Daniel Barbará, Chandrika Kamath:
Proceedings of the Third SIAM International Conference on Data Mining, San Francisco, CA, USA, May 1-3, 2003. SIAM 2003, ISBN 978-0-89871-545-3 [contents]
Informal and Other Publications
- 2023
- [i6]Chandrika Kamath:
Classification of Orbits in Poincaré Maps using Machine Learning. CoRR abs/2305.13329 (2023) - [i5]Chandrika Kamath:
Intelligent sampling for surrogate modeling, hyperparameter optimization, and data analysis. CoRR abs/2306.04066 (2023) - [i4]Chandrika Kamath, Juliette Franzman, Ravi Ponmalai:
Data Mining for Faster, Interpretable Solutions to Inverse Problems: A Case Study Using Additive Manufacturing. CoRR abs/2306.04228 (2023) - [i3]Chandrika Kamath, Juliette S. Franzman, Brian H. Daub:
Spatio-Temporal Surrogates for Interaction of a Jet with High Explosives: Part I - Analysis with a Small Sample Size. CoRR abs/2307.01393 (2023) - [i2]Chandrika Kamath, Juliette S. Franzman:
Spatio-Temporal Surrogates for Interaction of a Jet with High Explosives: Part II - Clustering Extremely High-Dimensional Grid-Based Data. CoRR abs/2307.01400 (2023) - 2021
- [i1]Aydin Buluç, Tamara G. Kolda, Stefan M. Wild, Mihai Anitescu, Anthony M. DeGennaro, John Jakeman, Chandrika Kamath, Ramakrishnan Kannan, Miles E. Lopes, Per-Gunnar Martinsson, Kary L. Myers, Jelani Nelson, Juan M. Restrepo, C. Seshadhri, Draguna L. Vrabie, Brendt Wohlberg, Stephen J. Wright, Chao Yang, Peter Zwart:
Randomized Algorithms for Scientific Computing (RASC). CoRR abs/2104.11079 (2021)
Coauthor Index
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