Chandrika Kamath

Publication Activity (10 Years)

Years Active: 1989-2023
Publications (10 Years): 16

Top Topics

Small Data Sets

Efficient Incremental

Machine Learning

Top Venues

Int. J. Pattern Recognit. Artif. Intell.

Stat. Anal. Data Min.

Publications

Chandrika Kamath
Classification of Orbits in Poincaré Maps using Machine Learning. CoRR (2023)
Chandrika Kamath
Intelligent sampling for surrogate modeling, hyperparameter optimization, and data analysis. CoRR (2023)
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 (2023)
Chandrika Kamath, Juliette Franzman, Ravi Ponmalai
Data Mining for Faster, Interpretable Solutions to Inverse Problems: A Case Study Using Additive Manufacturing. CoRR (2023)
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 (2023)
Aydin Buluç, Tamara G. Kolda, Stefan M. Wild, Mihai Anitescu, Anthony DeGennaro, John Jakeman, Chandrika Kamath, Ramakrishnan Kannan, Miles E. Lopes, Per-Gunnar Martinsson, Kary 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 (2021)
Chandrika Kamath
Compressing unstructured mesh data from simulations using machine learning. Int. J. Data Sci. Anal. 9 (1) (2020)
Chandrika Kamath
Intelligent Exploration of Large-Scale Data: What Can We Learn in Two Passes? IEEE BigData (2019)
Chandrika Kamath
Selecting Parameters for Image Processing Algorithms: A Case Study Using Retinal Image Segmentation. ACSSC (2019)
Chandrika Kamath, Ya-Ju Fan
Regression with small data sets: a case study using code surrogates in additive manufacturing. Knowl. Inf. Syst. 57 (2) (2018)
Chandrika Kamath, Ya-Ju Fan
Compressing Unstructured Mesh Data Using Spline Fits, Compressed Sensing, and Regression Methods. GlobalSIP (2018)
Chandrika Kamath
Learning to Compress Unstructured Mesh Data from Simulations. DSAA (2017)
Ya-Ju Fan, Chandrika Kamath
Detecting ramp events in wind energy generation using affinity evaluation on weather data. Stat. Anal. Data Min. 9 (3) (2016)
Ya-Ju Fan, Chandrika Kamath
Identifying and Exploiting Diurnal Motifs in Wind Generation Time Series Data. Int. J. Pattern Recognit. Artif. Intell. 29 (2) (2015)
Ya-Ju Fan, Chandrika Kamath
Practical Considerations in Applying Compressed Sensing to Simulation Data. DCC (2015)
Jeremy Iverson, Chandrika Kamath, George Karypis
Evaluation of connected-component labeling algorithms for distributed-memory systems. Parallel Comput. 44 (2015)
Chandrika Kamath, Ya-Ju Fan
Incremental SVD for Insight into Wind Generation. ICMLA (2014)
Chandrika Kamath, Ya-Ju Fan
Using data mining to enable integration of wind resources on the power grid. Stat. Anal. Data Min. 5 (5) (2012)
Mandoye Ndoye, Chandrika Kamath
Extending MC-SURE to denoise sensor data streams. ACSCC (2012)
Jeremy Iverson, Chandrika Kamath, George Karypis
Fast and Effective Lossy Compression Algorithms for Scientific Datasets. Euro-Par (2012)
Chandrika Kamath, Ya-Ju Fan
Finding Motifs in Wind Generation Time Series Data. ICMLA (2) (2012)
Chandrika Kamath, Omar A. Hurricane
Robust Extraction of Statistics from Images of Material Fragmentation. Int. J. Image Graph. 11 (3) (2011)
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) (2009)
Chandrika Kamath
Application-Driven Data Analysis. Stat. Anal. Data Min. 1 (5) (2009)
Arnold Goodman, Chandrika Kamath, Vipin Kumar
Data Analysis in the 21st Century. Stat. Anal. Data Min. 1 (1) (2008)
Abel Gezahegne, Chandrika Kamath
Tracking non-rigid structures in computer simulations. ICIP (2008)
Chandrika Kamath, Paul L. Miller
Image Analysis for Validation of Simulations of a Fluid Mix Problem. ICIP (3) (2007)
Abraham Bagherjeiran, Nicole S. Love, Chandrika Kamath
Estimating Missing Features to Improve Multimedia Retrieval. ICIP (2) (2007)
Shawn D. Newsam, Chandrika Kamath
Comparing shape and texture features for pattern recognition in simulation data. Image Processing: Algorithms and Systems (2006)
Abraham Bagherjeiran, Chandrika Kamath
Graph-based Methods for Orbit Classification. SDM (2006)
Sen-Ching S. Cheung, Chandrika Kamath
Robust Background Subtraction with Foreground Validation for Urban Traffic Video. EURASIP J. Adv. Signal Process. 2005 (14) (2005)
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)
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) (2005)
Sisira K. Weeratunga, Chandrika Kamath
Investigation of implicit active contours for scientific image segmentation. VCIP (2004)
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)
Erick Cantú-Paz, Shawn D. Newsam, Chandrika Kamath
Feature selection in scientific applications. KDD (2004)
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)
Sen-Ching S. Cheung, Chandrika Kamath
Robust techniques for background subtraction in urban traffic video. VCIP (2004)
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika Kamath
Effective localized regression for damage detection in large complex mechanical structures. KDD (2004)
Erick Cantú-Paz, Chandrika Kamath
Evolving neural networks to identify bent-double galaxies in the FIRST survey. Neural Networks 16 (3-4) (2003)
Imola K. Fodor, Chandrika Kamath
Denoising through wavelet shrinkage: an empirical study. J. Electronic Imaging 12 (1) (2003)
Sisira Weeratunga, Chandrika Kamath
Comparison of PDE-based non-linear anistropic diffusion techniques for image denoising. Image Processing: Algorithms and Systems (2003)
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)
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)
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika Kamath, Vipin Kumar, Kumar K. Tamma
Localized Prediction of Continuous Target Variables Using Hierarchical Clustering. ICDM (2003)
Erick Cantú-Paz, Chandrika Kamath
Inducing oblique decision trees with evolutionary algorithms. IEEE Trans. Evol. Comput. 7 (1) (2003)
Erick Cantú-Paz, Chandrika Kamath
Evolving Neural Networks For The Classification Of Galaxies. GECCO (2002)
Imola K. Fodor, Chandrika Kamath
Dimension reduction techniques and the classification of bent double galaxies. Comput. Stat. Data Anal. 41 (1) (2002)
Sergey Kirshner, Igor V. Cadez, Padhraic Smyth, Chandrika Kamath, Erick Cantú-Paz
Probabilistic Model-Based Detection of Bent-Double Radio Galaxies. ICPR (2) (2002)
Chandrika Kamath, Erick Cantú-Paz, Imola K. Fodor, Nu Ai Tang
Classifying bent-double galaxies. Comput. Sci. Eng. 4 (4) (2002)
Sisira Weeratunga, Chandrika Kamath
PDE-based nonlinear diffusion techniques for denoising scientific and industrial images: an empirical study. Image Processing: Algorithms and Systems (2002)
Chandrika Kamath
Workshop Report: The Fourth Workshop on Mining Scientific Datasets. SIGKDD Explor. 3 (2) (2002)
Chandrika Kamath, Erick Cantú-Paz, David Littau
Approximate Splitting for Ensembles of Trees using Histograms. SDM (2002)
Sergey Kirshner, Igor V. Cadez, Padhraic Smyth, Chandrika Kamath
Learning to Classify Galaxy Shapes Using the EM Algorithm. NIPS (2002)
Erick Cantú-Paz, Chandrika Kamath
Using Evolutionary Algorithms to Induce Oblique Decision Trees. GECCO (2000)
Chandrika Kamath, Roy Ho, Dwight P. Manley
DXML: A High-performance Scientific Subroutine Library. Digit. Tech. J. 6 (3) (1994)
Chandrika Kamath, Sisira Weeratunga
Projection Methods on a Distributed Memory MIMD Multiprocessor. PPSC (1991)
Chandrika Kamath, Sisira Weeratunga
Implementation of two projection methods on a shared memory multiprocessor: DEC VAX 6240. Parallel Comput. 16 (2-3) (1990)
Chandrika Kamath, Ahmed H. Sameh
A projection method for solving nonsymmetric linear systems on multiprocessors. Parallel Comput. 9 (3) (1989)