Journal Papers

 

1.      K. Sivakumar and U. B. Desai, “Image Restoration Using a Multilayer Perceptron with a Multilevel Sigmoidal Function,” IEEE Transactions on Signal Processing, vol. 41(5), pp. 2018-2022, 1993.

2.      J. Goutsias, H. J. A. M. Heijmans, and K. Sivakumar, “Morphological Operators For Image Sequences,” Computer Vision and Image Understanding, vol. 62(3), pp. 326-346, 1995.

3.      K. Sivakumar and J. Goutsias, “Binary Random Fields, Random Closed Sets and Morphological Sampling,” IEEE Transactions on Image Processing (Special Issue: Nonlinear Image Processing), vol. 5(6), pp. 899-912, 1996.

4.      K. Sivakumar and J. Goutsias, “On the Discretization of Morphological Image Operators,” Journal of Visual Communication and Image Representation, vol. 7(4), pp. 39-49, 1996.

Citations: none found   Impact Factor: 1.04

5.      K. Sivakumar and J. Goutsias, “Discrete Morphological Size Distributions and Densities: Estimation Techniques and Applications,” Journal of Electronic Imaging, vol. 6(1), pp. 31-53, 1997.

6.      J. Goutsias and K. Sivakumar, “A Multiresolution Morphological Approach to Stochastic Image Modeling,” CWI Quarterly (Special issue: signals and images), vol. 11(4), pp. 347-369, December 1998. 

7.      K. Sivakumar and J. Goutsias, “Morphologically Constrained GRFs: Applications to Texture Synthesis and Analysis,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 21(2), pp. 99-113, 1999.

8.      S. Baeg, S. Batman, E. R. Dougherty, V. Kamat, N. Kehtarnavaz, S. Kim, A. Popov, K. Sivakumar, and R. Shah, “Unsupervised Morphological Granulometric Texture Segmentation of Digital Mammograms,” Journal of Electronic Imaging, vol. 8(1), pp. 65-75, 1999.

9.      K. Sivakumar, M. J. Patel, N. Kehtarnavaz, B. Yoganand, and E. R. Dougherty, “A Constant-time Algorithm for Erosions/Dilations with Applications to Morphological Texture Feature Computation,” Real-time Imaging, vol. 6, pp. 223-239, 2000.

10.  K. Sivakumar and J. Goutsias, “A Morphological Estimator for Clique Potentials of Binary Markov Random Fields,” IEEE Signal Processing Letters, vol. 7(5), pp. 120-122, 2000.

11.  S. Kim, E. R. Dougherty, Y. Chen, K. Sivakumar, P. Meltzer, J. M. Trent, and M. Bittner, “Multivariate Measurement of Gene Expression Relationships,” Genomics, vol. 67, pp. 201-209, 2000.

12.  S. Kim, E. R. Dougherty, M. L. Bittner, Y. Chen, K. Sivakumar, P. Meltzer, and J. M. Trent, “General nonlinear framework for the analysis of gene interaction via multivariate expression arrays,” Journal of Biomedical Optics, vol. 5(4), pp. 411-424, 2000.

13.  K. Sivakumar, Y. Balagurunathan, and E. R. Dougherty, “Asymptotic joint normality of the granulometric moments,” Pattern Recognition Letters, 22 (14) pp. 1537-1543, 2001.

14.  H. Kargupta, W. Huang, K. Sivakumar, and E. Johnson, “Distributed Clustering Using Collective Principal Component Analysis,” Knowledge and Information Systems Journal, Vol. 3, pp. 422-448, 2001.

15.  T. Fletcher, C. Chandan, E. Masad, and K. Sivakumar, “Measurement of Aggregate Texture and Its Influence on HMA Permanent Deformation,” Journal of Testing and Evaluation, American Society for Testing and Materials, ASTM, Vol. 30, No. 6, pp. 524-531, 2002.

16.  T. Fletcher, C. Chandan, E. Masad, and K. Sivakumar, “Aggregate imaging system for characterizing the shape of fine and coarse aggregates,” Bituminous Paving Mixtures (Book Series: Transportation Research Record) Issue: 1832, Pages: 67-77, 2003.

17.  C. Chandan, K. Sivakumar, E. Masad, and T. Fletcher, “Application of Imaging Techniques to Geometry Analysis of Aggregate Particles,” Journal of Computing in Civil Engineering, Vol. 18(1), pp. 75-82, 2004.

18.  R. Chen, K. Sivakumar, and H. Kargupta, “Collective Mining of Bayesian Networks from Distributed Heterogeneous Data,” Knowledge and Information Systems Journal, vol. 6, pp. 164-187, 2004.

19.  Co-Editor (with E. Masad) Journal of Computing in Civil Engineering, Special Issue: Advances in the characterization and modeling of civil engineering materials using imaging techniques, vol. 18, Issue 1 (January 2004).

20.  H. Kargupta, A. Joshi, K. Sivakumar and Y. Yesha (Editors), “Data Mining: Next Generation Challenges and Future Directions,” AAAI/MIT Press, 2004 (ISBN 0262612038).

21.  H. Kargupta, S. Datta, Q. Wang, and K. Sivakumar, “Random Data Perturbation Techniques and Privacy Preserving Data Mining,” Knowledge and Information Systems Journal, vol. 7, no. 4, pp. 387-414,  2005.

22.  J. Ma and K. Sivakumar, “A Post Randomization Framework for Privacy-Preserving Bayesian Network Parameter Learning,” WSEAS Transactions on Information Science and Applications, Vol. 3, No. 1, January 2006.

23.  T. Cheng, B. J. Belzer, and K. Sivakumar, “Row-column soft-decision feedback algorithm for two-dimensional intersymbol interference,” IEEE Signal Processing Letters, vol. 14, pp. 433-436, July 2007.

24.  L. Zhao, J. Delgado-Frias, and K. Sivakumar “Performance Analysis of Multipath Transmission over 802.11-based Multihop Ad Hoc Networks: A Cross-Layer Perspective,” IET Proceedings – Communications, vol. 2, no. 2, pp. 380-387, 2008.

25.  Y. Zhu, T. Cheng, K. Sivakumar, and B. J. Belzer, “Markov random field detection on two-dimensional intersymbol interference channels,” IEEE Transactions on Signal Processing, vol. 56, No. 7, pp. 2639-2648, July 2008.

26.  Yiming Chen, Patrick Njeim, Taikun Cheng, Benjamin J. Belzer, and Krishnamoorthy Sivakumar, “Iterative Soft Decision Feedback Zig-Zag Equalizer for 2D Intersymbol Interference Channels,” IEEE Journal on Selected Areas in Communications, special issue on “Data Communication Techniques for Storage Channels and Networks,” vol. 28, no. 2, pp. 167-180, February 2010.

27.  Suk Tae Seo, K. Sivakumar and Soon Hak Kwon, “Dempster-Shafer’s Evidence Theory-based Edge Detection,” International Journal of Fuzzy Logic and Intelligent Systems, vol. 11, no. 1, pp. 19-24, 2011.

28.  K. Sivakumar and Soon Hak Kwon, “Image Thresholding based on Canny Edge Detector,” Institute of Electronics, Information, and Communication Engineers (IEICE) Transactions, submitted, 2012.

29.  Yiming Chen, Benjamin J. Belzer, and Krishnamoorthy Sivakumar, “Equalization Algorithms using Joing Extrinsic Information for Two-dimensional Intersymbol Interference Channels,” IEEE Transactions on Communications, (under preparation), 2013.

30.  Chuan Zhao and Krishnamoorthy Sivakumar, “ERUDITE: A General Entity Resolution Framework,” Knowledge and Information Systems, (under preparation), 2013.

31.  Chuan Zhao and Krishnamoorthy Sivakumar, “Clustering for Semi-Structured Data,” Knowledge and Information Systems, (under preparation), 2013.

 

Other Refereed Papers

 

1.      K. Sivakumar and J. Goutsias, “On Estimating Granulometric Discrete Size Distributions of Random Sets,” in Random Sets: Theory and Applications, (J. Goutsias, R. P. S. Mahler, and H. T. Nguyen, eds.), pp. 47-71, The IMA Volumes in Mathematics and its Applications, vol. 97, Springer-Verlag, New York, 1997.

2.      K. Sivakumar and J. Goutsias, “Morphologically Constrained Discrete Random Sets,” in Advances in Theory and Applications of Random Sets, (D. Jeulin ed.), pp. 49-66, World Scientific Publishing Company, Singapore, 1997.

3.      K. Sivakumar and J. Goutsias, “Monte Carlo Simulation and Statistical Estimation of Morphologically Constrained GRFs,” Mathematical Morphology and Its Applications to Image and Signal Processing, (H. J. A. M. Heijmans and J. B. T. M. Roerdink, eds.), pp. 267-274, Kluwer, Dordrecht, The Netherlands, 1998.

4.      H. Kargupta, W. Huang, K. Sivakumar, B-H. Park, and S. Wang, “Collective Principal Component Analysis from Distributed, Heterogeneous Data,” The Fourth European Conference on Principles and Practice of Knowledge Discovery in Databases, Lyon, France, September 2000. 

5.      H. Kargupta, W. Huang, and K. Sivakumar, “Distributed Clustering Using Collective Principal Component Analysis,” Sixth ACM SIGKDD International Conference on Knowledge Discovery & Data Mining – Workshop on Distributed and Parallel Knowledge Discovery, Boston, August 2000.

6.      H. Kargupta, K. Sivakumar, W. Huang, R. Ayyagari, R. Chen, B-H Park, and E. Johnson, “Towards Ubiquitous Mining of Distributed Data,” in Data Mining for Scientific and Engineering Applications. Editors, R. Grossman, C. Kamath, P. Kegelmeyer, V. Kumar, and R. Namburu, Kluwer Academic Publishers, 2001. 

7.      R. Chen, K. Sivakumar, and H. Kargupta, “Distributed Web Mining using Bayesian Networks from Multiple Data Streams,” Proceedings of the 2001 IEEE Conference on Data Mining (ICDM 2001), San Jose, California, pp. 75-82, Nov-Dec 2001.

8.      H. Kargupta, K. Sivakumar, and S. Ghosh, “Dependency Detection in MobiMine and Random Matrices,” Proceedings of the 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 2002), pp. 250-262. Helsinki, Finland, 2002.

9.      R. Chen and K. Sivakumar, “A New Algorithm for Learning Parameters of a Bayesian Network from Distributed Data,” Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), Maebashi, Japan, pp. 585-588, Dec 2002.

10.  R. Chen, K. Sivakumar, and H. Kargupta, “Learning Bayesian Network Structure from Distributed Data,” Proceedings of the 2003 SIAM International Conference on Data Mining (SDM 2003), San Francisco, California, pp.284-288, May 2003.

11.  S. Datta, H Kargupta, and K. Sivakumar, “Homeland Defense, Privacy-Sensitive Data Mining, and Random Value Distortion,” In Proceedings of the SIAM Workshop on Data Mining for Counter Terrorism and Security (SDM'03),San Francisco, CA, May 2003.

12.  H. Dutta, H. Kargupta, S. Datta, and K. Sivakumar, “Analysis of Privacy Preserving Random Perturbation Techniques: Further Explorations,” Proceedings of the Workshop on Privacy in the Electronic Society (in association with the 10th ACM Conference on Computer and Communications Security), Washington DC, October 2003.

13.  H. Kargupta, S. Datta, Q. Wang and K. Sivakumar, “On the Privacy Preserving Properties of Random Data Perturbation Techniques,” IEEE International Conference on Data Mining (ICDM 2003), Florida, November 2003. (Won Best Paper Award)

14.  H. Kargupta and K. Sivakumar, “Existential Pleasures of Distributed Data Mining,” in Data Mining: Next Generation Challenges and Future Directions, (Editors: H. Kargupta, A. Joshi, K. Sivakumar and Y. Yesha), AAAI/MIT Press, 2004.

15.  D. Meng, K. Sivakumar, and H. Kargupta, “Privacy Sensitive Bayesian Network Parameter Learning,” Proceedings of the Fourth IEEE International Conference on Data Mining (ICDM), Brighton, UK, 2004.

16.  J. Ma and K. Sivakumar, “Privacy- Preserving Bayesian Network Parameter Learning,” 4th WSEAS International Conference on Computational Intelligence, Man-machine Systems and Cybernetics, Miami, Florida, November, 2005.

17.  J. Ma, and K. Sivakumar, “Privacy-Preserving Bayesian Network Learning From Heterogeneous Distributed Data,” Proceedings of the 2006 international conference on data mining, Las Vegas, NV, 2006.

18.  Y. Zhu, B. Belzer, and K. Sivakumar, “Reduced state BCJR algorithms for one- and two- dimensional equalization.” 33rd Int. Conf. on Acoustics, Speech, and Sig. Proc. (ICASSP 08), March-April. 2008.

19.  C. Zhao and K. Sivakumar, “A Graph-based Similarity Metric and Validity Indices  for Clustering Non-numeric and Unstructured Data.” International Conference on Data Mining (DMIN 09), July 2009.

20.  C. Zhao and K. Sivakumar, “An Effective Entity Resolution Method,” International Conference on Data Mining (DMIN 10), July 2010.

21.  X. Yang, K. Sivakumar, and B.J. Belzer, Iterative row-column-file soft decision feedback equalizer for three-dimensional intersymbol interference channels. Military Communications Conference 2010, pp 1759-1765. MILCOM 2010, San Jose, CA.

22.  M. Carosino, B. J. Belzer, K. Sivakumar, J. Murray, and P. Wettin, “Iterative Detection and Decoding for the Four-Rectangular-Grain TDMR Model,” Proceedings of the 51st Allerton Conference on Communications, Computing, and Control, 2013, pp 1-7.

 

Conference Papers

 

  1. K. Sivakumar and J. Goutsias, “Monte Carlo Estimation of Morphological Granulometric Discrete Size Distribution,” in Mathematical Morphology and Its Application to Image Processing, (J. Serra and P. Soille, eds.), pp. 233-240, Kluwer, 1994.
  2. K. Sivakumar and J. Goutsias, “On the Morphological Analysis of Binary Random Fields,” Proceedings of the IEEE International Conference on Image Processing, vol. I, pp. 514-517, Washington DC, 1995.
  3. K. Sivakumar and J. Goutsias, “Morphological Sampling of Random Closed Sets,” in Mathematical Morphology and Its Application to Image and Signal Processing, (P. Maragos, R. W. Schafer, and M. A. Butt, eds.) pp. 73-80, Kluwer, 1996.
  4. K. Sivakumar and J. Goutsias, “Morphological Size Densities: Application to Optimal Texture Classification and Noise Filtering,” Proceedings of the IEEE/EURASIP Workshop on Nonlinear Signal and Image Processing, 1997.
  5. K. Sivakumar and J. Goutsias, “Morphologically Constrained Gibbs Random Fields,” Proceedings of the IEEE International Conference on Image Processing, vol. II, pp. 851-854, Santa Barbara, California, 1997.
  6. M. J. Patel, N. Kehtarnavaz, E. R. Dougherty, S. Batman, and K. Sivakumar, “Computation of Morphological Texture Features for Medical Imaging Applications,” Proceedings of the SPIE International Symposium on Medical Imaging, San Diego, California, February, 1998.
  7. S. Baeg, A. T. Popov, V. G. Kamat, S. Batman, K. Sivakumar, N. Kehtarnavaz, E. R. Dougherty, and R. B. Shah, “Segmentation of Mammograms into Distinct Morphological Texture Regions,” Proceedings of the 11th IEEE Symposium on Computer-Based Medical Systems, pp. 20-25, Lubbock, Texas, June, 1998.
  8. K. Sivakumar and J. Goutsias, “Multi-Site Updating MCMC Algorithm for Morphologically Constrained Gibbs Random Fields,” Proceedings of the SPIE Annual Meeting (Conference on Bayesian Inference for Inverse Problems), vol. 3459, pp. 272-282, San Diego, California, July 19-24, 1998.
  9. K. Sivakumar and J. Goutsias, “MAP Estimation of a Class of Morphologically Constrained Gibbs Random Fields,” Proceedings of the IEEE International Conference on Image Processing, Chicago, vol. II, 1998.
  10. E. R. Dougherty, M. L. Bittner, Y. Chen, S. Kim, K. Sivakumar, J. Barrera, P. Meltzer, J. Trent, “Nonlinear Filters in genomic control,” Proceedings of the IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing, June, 1999.
  11. S. Kim, E. R. Dougherty, M. Bittner, Y. Chen, K. Sivakumar, P. Meltzer, and J. M. Trent, “Automated Analysis of Multivariate Gene Relations Based on cDNA Microarray Expression Data,” Proc. SPIE Advances in Nucleic Acid and Protein Analyses, Manipulation, and Sequencing, vol. 3926, San Jose, January, 2000.
  12. K. Sivakumar and J. Goutsias, “A Morphological Estimator for Clique Potentials of Binary Markov Random Fields,” IEEE International Conference on Image Processing, Vancouver, Canada, 2000.
  13. R. Chen, K. Sivakumar, and H. Kargupta, “An approach to online Bayesian learning from multiple data streams,” Proceedings of the Workshop on Ubiquitous Data Mining (5th European Conference on Principles and Practice of Knowledge Discovery in Databases), Freiburg, Germany, Sept. 2001.
  14. T. Fletcher, C. Chandan, E. Masad, and K. Sivakumar, “Measurements of Aggregate Texture and Its Influence on HMA Permanent Deformation,” The 81st Annual Meeting of the Transportation Research Board, Washington, DC, Jan 2002.
  15. H. Kargupta, K. Liu, S. Datta, J. Ryan, K. Sivakumar(2003) Link Analysis, Privacy Preservation, and Random Perturbations.  Proceedings of the  KDD Workshop on Link Analysis for Detecting Complex Behavior  (LinkKDD’03), Washington D.C., July  2003.
  16. H. Kargupta, K. Liu, S. Datta, J. Ryan, and K. Sivakumar. (2003). Homeland security and privacy sensitive data mining from multi-party distributed resources. In Proceedings of the 12th IEEE International Conference on Fuzzy Systems, volume 2, pp. 1257-1260, St. Louis, MO, May 2003.
  17. P. Njeim, T. Cheng, B. J. Belzer, K. Sivakumar, and Ying Zhu, “Image Detection in 2D Intersymbol Interference with Zig-Zag Decision-Feedback Viterbi Algorithm,” Conference on Information Sciences and Systems, Princeton University, Baltimore, March 2004.
  18. H. Kargupta, K. Sivakumar, and S. Ghosh, “Random Matrix-Based Approach for Dependency Detection from Data Streams. Proceedings of the 7th Workshop on Research Issues in Data Mining and Knowledge Discovery, ACM SIGMOD, pp. 18—23, 2002.
  19. T. Cheng, B. J. Belzer, and K. Sivakumar, “Image Deblurring with Iterative Row-Column Soft-Decision Feedback Algorithm,” Conference on Information Sciences and Systems, The Johns Hopkins University, Baltimore, March 2005.
  20. P. Njeim, T. Cheng, B. J. Belzer, and K. Sivakumar, “Image Detection in 2D Intersymbol Interference with Iterative Soft Decision Feedback Zig-Zag Algorithm,” Forty-Third Annual Allerton Conference on Communication, Control, And Computing, Illinois, September 2005.
  21. Y. Zhu, T. Cheng, K. Sivakumar, and B.J. Belzer, “Detection of Markov random fields on two-dimensional intersymbol interference channels, Proceedings of the 44th Allerton Conference on Communications, Computing, and Control, (CD-ROM), Urbana, IL, 2006.
  22. T. Cheng, K. Sivakumar, and B. J. Belzer, “Serially concatenated IRA codes,” in Proc. 45th annual Allerton Conf. on Comm., Computing, and Control, (Univ. of Illinois, Urbana-Champaign, IL), Sept. 2007. CD-ROM.
  23. Y. Zhu, B. Belzer, and K. Sivakumar, “Reduced Complexity Iterative Equalizers for M-ary 2D ISI Channels,” Accepted for presentation Conference on Information Sciences and Systems, The Johns Hopkins University, Baltimore, March 2009.
  24. Qingwei Ge, Benjamin J. Belzer, and Krishnamoorthy Sivakumar, “Decoding and Performance Analysis of Serially Concatenated IRA Codes,” Submitted: Conference on Information Sciences and Systems, The Johns Hopkins University, Baltimore, March 2009.
  25. Y. Chen, B. Belzer, and K. Sivakumar, “Iterative Row-Column Soft-Decision Feedback Algorithm Using Joint Extrinsic Information for Two-dimensional Intersymbol Interference.” Conference on Information Sciences and Systems, Princeton University, Princeton, March 2010.
  26. H. Ma, K. Sivakumar, and B. Belzer “Feedback probability sorting and LLR-based SED search for iterative row-column 2D ISI equalization.” Conference on Information Sciences and Systems, Princeton University, Princeton, March 2010.
  27. Z. Heater, K. Sivakumar, and B.J. Belzer, “Diagonal Scanning Algorithm for Equalization of Two-Dimensional Digital Mass Storage Channels,” Washington State University Showcase (poster presentation), Pullman, WA, April 2010.
  28. Y. Chen, B. Belzer, and K. Sivakumar, “Iterative Soft-Decision Feedback Zigzag Algorithm Using Joint Extrinsic Information for Two-dimensional Intersymbol Interference.” Conference on Information Sciences and Systems, Princeton University, Baltimore, March 2011.
  29. Chuan Zhao and K. Sivakumar, “ERUDITE: A General Entity Resolution Framework,” Washington State University Showcase (poster presentation), Pullman, WA, April 2011.
  30. Yiming Chen, B.J. Belzer, and K. Sivakumar, “Iterative Soft-Decision Feedback Zigzag Algorithm Using Joint Extrinsic Information for Two-dimensional Inter-symbol Interference Equalization,” Washington State University Showcase (poster presentation), Pullman, WA, April 2011.

31.  M. Carosino, J. Yu, Y. Chen, B. J. Belzer, K. Sivakumar, J. Murray, and P. Wettin, “Iterative Detection and Decoding for the Four-Rectangular-Grain TDMR Model with Two-Dimensional Intersymbol Interference,” Advanced Storage Technology Consortium Project Review, September 2013, San Jose, CA.