default search action
Chandrika Kamath 0001
Person information
- affiliation: Lawrence Livermore National Laboratory, CA, USA
- affiliation (PhD 1986): University of Illinois Urbana-Champaign, IL, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j22]Chandrika Kamath:
Classification of orbits in Poincaré maps using machine learning. Int. J. Data Sci. Anal. 17(3): 305-321 (2024) - 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) - 2020
- [j21]Chandrika Kamath
:
Compressing unstructured mesh data from simulations using machine learning. Int. J. Data Sci. Anal. 9(1): 113-130 (2020)
2010 – 2019
- 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
- [j20]Chandrika Kamath
Regression with small data sets: a case study using code surrogates in additive manufacturing. Knowl. Inf. Syst. 57(2): 475-493 (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 - 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) - [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 - [e4]Mohammed Javeed Zaki
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] - 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) - [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 - 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)
2000 – 2009
- 2009
- [b2]Chandrika Kamath:
Scientific Data Mining - A Practical Perspective. SIAM 2009, ISBN 978-0-898716-75-7, pp. I-XVIII, 1-286 - [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) - [p1]Chandrika Kamath, Nikil Wale, George Karypis
Scientific Data Analysis. Scientific Data Management 2009 - 2008
- [j12]Arnold Goodman, Chandrika Kamath, Vipin Kumar:
Data Analysis in the 21st Century. Stat. Anal. Data Min. 1(1): 1-3 (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
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
- [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) - [c18]Chandrika Kamath, Abel Gezahegne, Shawn D. Newsam
Salient points for tracking moving objects in video. Electronic Imaging: Image and Video Communications and Processing 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
- [c17]Shawn D. Newsam
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
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 - [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
- [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) - [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 - [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] - 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) - [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
1990 – 1999
- 1994
- [j3]Chandrika Kamath, Roy Ho, Dwight P. Manley:
DXML: A High-performance Scientific Subroutine Library. Digit. Tech. J. 6(3) (1994) - 1991
- [c1]Chandrika Kamath, Sisira Weeratunga:
Projection Methods on a Distributed Memory MIMD Multiprocessor. PP 1991: 92-97 - 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)
1980 – 1989
- 1989
- [j1]Chandrika Kamath, Ahmed H. Sameh:
A projection method for solving nonsymmetric linear systems on multiprocessors. Parallel Comput. 9(3): 291-312 (1989) - 1986
- [b1]Chandrika Kamath:
Solution of Nonsymmetric Systems of Equations on a Multiprocessor. University of Illinois Urbana-Champaign, USA, 1986
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:22 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: