Chandrika Kamath

发表

An experimental comparison of block matching techniques for detection of moving objects

Nicole S. Love, Chandrika Kamath, 2006, SPIE Optics + Photonics.

Comparing shape and texture features for pattern recognition in simulation data

Chandrika Kamath, Shawn D. Newsam, S. Newsam, 2005, IS&T/SPIE Electronic Imaging.

Salient points for tracking moving objects in video

Chandrika Kamath, Shawn D. Newsam, Abel Gezahegne, 2005, IS&T/SPIE Electronic Imaging.

Inducing oblique decision trees with evolutionary algorithms

Chandrika Kamath, Erick Cantú-Paz, C. Kamath, 2003, IEEE Trans. Evol. Comput..

The Role of Multiresolution in Mining Massive Image Datasets

Chandrika Kamath, Imola K. Fodor, 2002 .

Denoising through wavelet shrinkage: an empirical study

Chandrika Kamath, Imola K. Fodor, C. Kamath, 2003, J. Electronic Imaging.

Combining evolutionary algorithms with oblique decision trees to detect bent-double galaxies

Chandrika Kamath, Erick Cantu-Paz, 2000, SPIE Optics + Photonics.

Data Analysis in the 21st Century

Vipin Kumar, Chandrika Kamath, Arnold Goodman, 2008, Stat. Anal. Data Min..

Ensemble Feature Selection in Scientific Data Analysis

Chandrika Kamath, Aaron Sisto, 2013 .

Dimension Reduction for Streaming Data

Chandrika Kamath, Ian Gorton, Deborah K. Gracio, 2012 .

Probabilistic model-based detection of bent-double radio galaxies

Chandrika Kamath, Padhraic Smyth, Erick Cantú-Paz, 2002, Object recognition supported by user interaction for service robots.

Detection of Coherent Structures in Extreme-Scale Simulations

George Karypis, Chandrika Kamath, J Iverson, 2012 .

Efficient segmentation of spatio-temporal data from simulations

Chandrika Kamath, Imola K. Fodor, C. Kamath, 2003, IS&T/SPIE Electronic Imaging.

Detecting human settlements in satellite images

Chandrika Kamath, Douglas N. Poland, Sailes K. Sengupta, 2003, SPIE LASE.

12. Visualizing the Data and Validating the Results

Chandrika Kamath, 2009 .

Damage Prediction and Estimation in Structural Mechanics Based on Data Mining

Chandrika Kamath, Kumar K. Tamma, Kumar, 2001 .

Data Mining in Materials Science and Engineering

Chandrika Kamath, Ya Ju Fan, 2013 .

Classifying bent-double galaxies

Chandrika Kamath, Erick Cantú-Paz, Imola K. Fodor, 2002, Comput. Sci. Eng..

Design and implementation of a parallel object-oriented image processing toolkit

Chandrika Kamath, Imola K. Fodor, C. Baldwin, 2000, SPIE Optics + Photonics.

Regression with small data sets: a case study using code surrogates in additive manufacturing

Ya-Ju Fan, Chandrika Kamath, C. Kamath, 2018, Knowledge and Information Systems.

Evolving neural networks to identify bent-double galaxies in the FIRST survey

Chandrika Kamath, Erick Cantú-Paz, C. Kamath, 2003, Neural Networks.

Damage prediction in structural mechanics using partitioning approach

Vipin Kumar, Aleksandar Lazarevic, Chandrika Kamath, 2003, SPIE Defense + Commercial Sensing.

Use of machine vision techniques to detect human settlements in satellite images

Chandrika Kamath, Douglas N. Poland, Sailes K. Sengupta, 2003, IS&T/SPIE Electronic Imaging.

Image analysis for the identification of coherent structures in plasma

Nicole S. Love, Chandrika Kamath, 2007, SPIE Optical Engineering + Applications.

Extending MC-SURE to denoise sensor data streams

Chandrika Kamath, Mandoye Ndoye, 2012, 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

Data Analysis in the Twenty-First Century

Chandrika Kamath, Kumar, A Goodman, 2007 .

Detecting ramp events in wind energy generation using affinity evaluation on weather data

Ya-Ju Fan, Chandrika Kamath, 2016, Stat. Anal. Data Min..

8. Finding Objects in the Data

Chandrika Kamath, 2009 .

A Comparison of Compressed Sensing and Sparse Recovery Algorithms Applied to Simulation Data

Chandrika Kamath, Ya Ju Fan, C. Kamath, 2016 .

Practical Considerations in Applying Compressed Sensing to Simulation Data

Ya-Ju Fan, Chandrika Kamath, 2015, 2015 Data Compression Conference.

Workshop report: the Fourth Workshop on Mining Scientific Datasets, August 2001

Chandrika Kamath, 2002, SKDD.

DXML: A High-performance Scientific Subroutine Library

Chandrika Kamath, Roy Ho, Dwight P. Manley, 1994, Digit. Tech. J..

Using data mining to find bent-double radio galaxies in the FIRST survey

Chandrika Kamath, Imola K. Fodor, Erick Cantu-Paz, 2001, SPIE Optics + Photonics.

Fast and Effective Lossy Compression Algorithms for Scientific Datasets

Jeremy Iverson, George Karypis, Chandrika Kamath, 2012, Euro-Par.

Retrieval using texture features in high-resolution multispectral satellite imagery

Chandrika Kamath, Shawn D. Newsam, S. Newsam, 2004, SPIE Defense + Commercial Sensing.

Comparison of PDE-based non-linear anistropic diffusion techniques for image denoising

Chandrika Kamath, Sisira Weeratunga, 2003, IS&T/SPIE Electronic Imaging.

Robust Background Subtraction with Foreground Validation for Urban Traffic Video

Chandrika Kamath, Sen-Ching S. Cheung, C. Kamath, 2005, EURASIP J. Adv. Signal Process..

PDE-based nonlinear diffusion techniques for denoising scientific and industrial images: an empirical study

Chandrika Kamath, Sisira Weeratunga, C. Kamath, 2001, IS&T/SPIE Electronic Imaging.

Chandrika Kamath, Sen-Ching S. Cheung, Erick Cantú-Paz, 2004, IS&T/SPIE Electronic Imaging.

Determination of an Initial Mesh Density for Finite Element Computations via Data Mining

Chandrika Kamath, Kumar K. Tamma, Kumar, 2001 .

COMPRESSING UNSTRUCTURED MESH DATA USING SPLINE FITS, COMPRESSED SENSING, AND REGRESSION METHODS

Ya-Ju Fan, Chandrika Kamath, 2018, 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Approximate Splitting for Ensembles of Trees using Histograms

Chandrika Kamath, Erick Cantú-Paz, David Littau, 2001, SDM.

Robust techniques for background subtraction in urban traffic video

Chandrika Kamath, Sen-Ching S. Cheung, C. Kamath, 2004, IS&T/SPIE Electronic Imaging.

Investigation of implicit active contours for scientific image segmentation

Chandrika Kamath, Sisira K. Weeratunga, C. Kamath, 2004, IS&T/SPIE Electronic Imaging.

Image Analysis for Validation of Simulations of a Fluid Mix Problem

Chandrika Kamath, Paul L. Miller, 2007, 2007 IEEE International Conference on Image Processing.

Identifying and Exploiting Diurnal Motifs in Wind Generation Time Series Data

Ya-Ju Fan, Chandrika Kamath, 2015, Int. J. Pattern Recognit. Artif. Intell..

Estimating Missing Features to Improve Multimedia Retrieval

Nicole S. Love, Chandrika Kamath, Abraham Bagherjeiran, 2007, 2007 IEEE International Conference on Image Processing.

Estimating Missing Features to Improve Multimedia Information Retrieval

Chandrika Kamath, N. S. Love, A. Bagherjeiran, 2006 .

Learning to Compress Unstructured Mesh Data from Simulations

Chandrika Kamath, 2017, 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

A projection method for solving nonsymmetric linear systems on multiprocessors

Chandrika Kamath, Ahmed H. Sameh, A. Sameh, 1989, Parallel Comput..

Mining science data

Chandrika Kamath, 2006 .

Scientific Data Mining - A Practical Perspective

Chandrika Kamath, C. Kamath, 2009 .

Using data mining to enable integration of wind resources on the power grid

Ya-Ju Fan, Chandrika Kamath, C. Kamath, 2012, Stat. Anal. Data Min..

Selecting Parameters for Image Processing Algorithms: A Case Study Using Retinal Image Segmentation

Chandrika Kamath, 2019, 2019 53rd Asilomar Conference on Signals, Systems, and Computers.

Finding Motifs in Wind Generation Time Series Data

Ya-Ju Fan, Chandrika Kamath, 2012, 2012 11th International Conference on Machine Learning and Applications.

9. Extracting Features Describing the Objects

Chandrika Kamath, 2009 .

Projection Methods on a Distributed Memory MIMD Multiprocessor

Chandrika Kamath, Sisira Weeratunga, 1991, PPSC.

Implementation and performance prediction of some parallel algorithms on the Plexus microcomputer network

Chandrika Kamath, V. C. Bhavsar, C. Kamath, 1982 .

Localized prediction of continuous target variables using hierarchical clustering

Vipin Kumar, Aleksandar Lazarevic, Chandrika Kamath, 2003, Third IEEE International Conference on Data Mining.

10. Reducing the Dimension of the Data

Chandrika Kamath, 2009 .

Dimension reduction techniques and the classification of bent double galaxies

Chandrika Kamath, Imola K. Fodor, 2002, Comput. Stat. Data Anal..

Identification of Coherent Structures in Three-Dimensional Simulations of a Fluid-Mix Problem

Chandrika Kamath, Paul L. Miller, Abel Gezahegne, 2009, Int. J. Image Graph..

SDM center technologies for accelerating scientific discoveries

Mladen A. Vouk, Bertram Ludäscher, Chandrika Kamath, 2007 .

Damage detection employing data-mining techniques

Aleksandar Lazarevic, Chandrika Kamath, Kumar K. Tamma, 2005 .

Searching for Bent-Double Galaxies in the First Survey

Chandrika Kamath, Erick Cantú-Paz, Imola K. Fodor, 2001 .

4. The Scientific Data Mining Process

Chandrika Kamath, 2009 .

13. Scientific Data Mining Systems

Chandrika Kamath, 2009 .

Using Evolutionary Algorithms to Induce Oblique Decision Trees

Chandrika Kamath, Erick Cantú-Paz, 2000, GECCO.

6. Fusing Different Data Modalities

Chandrika Kamath, C. Kamath, 2009 .

Graph-based Methods for Orbit Classification

Chandrika Kamath, Abraham Bagherjeiran, 2006, SDM.

Application-Driven Data Analysis

Chandrika Kamath, 2009, Stat. Anal. Data Min..

7. Enhancing Image Data

Chandrika Kamath, 2009 .

Understanding wind ramp events through analysis of historical data

Chandrika Kamath, C. Kamath, 2009, IEEE PES T&D 2010.

Tracking non-rigid structures in computer simulations

Chandrika Kamath, Abel Gezahegne, 2008, 2008 15th IEEE International Conference on Image Processing.

Robust Extraction of Statistics from Images of Material Fragmentation

Chandrika Kamath, Omar A. Hurricane, 2011, Int. J. Image Graph..

Data mining and statistical inference in selective laser melting

Chandrika Kamath, C. Kamath, 2016, The International Journal of Advanced Manufacturing Technology.

Block Matching for Object Tracking

Chandrika Kamath, A Gyaourova, S Cheung, 2003 .

2. Data Mining in Science and Engineering

Chandrika Kamath, 2009 .

Using independent component analysis to separate signals in climate data

Chandrika Kamath, Imola K. Fodor, 2003, SPIE Defense + Commercial Sensing.

Scientific Data Analysis

Nagiza F. Samatova, Krishna Rajan, George Karypis, 2009, Scientific Data Management.

Compressing unstructured mesh data from simulations using machine learning

Chandrika Kamath, 2019, International Journal of Data Science and Analytics.

Effective localized regression for damage detection in large complex mechanical structures

Aleksandar Lazarevic, Chandrika Kamath, Ramdev Kanapady, 2004, KDD.

Evaluation of connected-component labeling algorithms for distributed-memory systems

Jeremy Iverson, George Karypis, Chandrika Kamath, 2015, Parallel Comput..

Evolving Neural Networks for the Classification of Galaxies

Chandrika Kamath, Erick Cantú-Paz, C. Kamath, 2002, GECCO.

Learning to Classify Galaxy Shapes Using the EM Algorithm

Chandrika Kamath, Padhraic Smyth, Igor V. Cadez, 2002, NIPS.

Incremental SVD for Insight into Wind Generation

Ya-Ju Fan, Chandrika Kamath, 2014, 2014 13th International Conference on Machine Learning and Applications.

3. Common Themes in Mining Scientific Data

Chandrika Kamath, 2009 .

Associating weather conditions with ramp events in wind power generation

Chandrika Kamath, C. Kamath, 2011, 2011 IEEE/PES Power Systems Conference and Exposition.

Intelligent Exploration of Large-Scale Data: What Can We Learn in Two Passes?

Chandrika Kamath, 2019, 2019 IEEE International Conference on Big Data (Big Data).

The Scientific Data Management Center: Available Technologies and Highlights

Qing Liu, Arie Shoshani, Robert Latham, 2011 .

Structural computations on the Cedar system

Chandrika Kamath, Ahmed Sameh, David J. Kuck, 1985 .

11. Finding Patterns in the Data

Chandrika Kamath, C. Kamath, 2009 .

Feature selection in scientific applications

Chandrika Kamath, Shawn D. Newsam, Erick Cantú-Paz, 2004, KDD.

Implementation of two projection methods on a shared memory multiprocessor: DEC VAX 6240

Chandrika Kamath, Sisira Weeratunga, 1990, Parallel Comput..

Data mining for faster, interpretable solutions to inverse problems: A case study using additive manufacturing

Chandrika Kamath, Juliette Franzman, Ravi Ponmalai, 2021 .

Randomized Algorithms for Scientific Computing (RASC) pdf

Mihai Anitescu, Stephen J. Wright, Draguna Vrabie, 2021, ArXiv.

Proceedings of the 2013 SIAM International Conference on Data Mining

Srinivasan Parthasarathy, Zhi-Hua Zhou, Zoran Obradovic, 2013 .

On Mining Scientific Datasets

Chandrika Kamath, C. Kamath, 2001 .

Blind Detection of Ultra-faint Streaks with a Maximum Likelihood Method

Chandrika Kamath, William A. Dawson, Michael D. Schneider, 2016 .

On the Selection of Dimension Reduction Techniques for Scientific Applications

Chandrika Kamath, C. Kamath, Ya Ju Fan, 2015 .

Image Denoising Techniques - An Overview

Sudipta Roy, Chandrika Kamath, Sumit Srivastava, 2014 .

Advanced simulation of electron heat transport in fusion plasmas

Scott Klasky, Chandrika Kamath, Nathan Wichmann, 2009 .

Observation of keyhole-mode laser melting in laser powder-bed fusion additive manufacturing

Chandrika Kamath, Alexander M. Rubenchik, Douglas E. Hahn, 2014 .

Density of additively-manufactured, 316L SS parts using laser powder-bed fusion at powers up to 400 W

Chandrika Kamath, Aaron Sisto, Wayne E. King, 2014 .