Kush R. Varshney
Room 32-D572
Massachusetts Institute of Technology
77 Massachusetts Avenue
Cambridge, MA 02139
(617)-253-7220

Talks and Posters

27. "Margin-Based Classification and Dimensionality Reduction Using Geometric Level Sets," MIT Lincoln Laboratory, Lexington, Massachusetts, November 24, 2009.

26. "Margin-Based Classification and Dimensionality Reduction Using Geometric Level Sets," IBM Thomas J. Watson Research Center, Yorktown Heights, New York, November 16, 2009.

25. "Margin-Based Classification and Dimensionality Reduction Using Geometric Level Sets," Naval Research Laboratory, Washington, District of Columbia, November 10, 2009.

24. "Margin-Based Classification and Dimensionality Reduction Using Geometric Level Sets," National Institute of Standards and Technology, Gaithersburg, Maryland, November 9, 2009.

23. "Margin-Based Classification and Dimensionality Reduction Using Geometric Level Sets," School of Electrical and Computer Engineering, Cornell University, Ithaca, New York, November 6, 2009.

22. "Margin-Based Classification and Dimensionality Reduction Using Geometric Level Sets," Schlumberger-Doll Research Center, Cambridge, Massachusetts, November 2, 2009.

21. "Performance of Random Forests in the Low False Alarm and Low Missed Detection Regimes," Stochastic Systems Group, Massachusetts Institute of Technology, Cambridge, Massachusetts, October 14, 2009.

20. "Level Set Margin-Based Classification," Lawrence Livermore National Laboratory, Livermore, California, August 11, 2009.

19. "Random Forest Classifier Performance in Low False Alarm and Low Missed Detection Regimes," Lawrence Livermore National Laboratory Institutional Summer Student Poster Symposium, Livermore, California, August 6, 2009. (poster)

18. "Learning Dimensionality-Reduced Classifiers for Information Fusion," International Conference on Information Fusion, Seattle, Washington, July 9, 2009.

17. "The Epsilon Entropy of Level Set Classifiers," LIDS Student Conference, Cambridge, Massachusetts, January 30, 2009.

16. "Level Set Margin-Based Classification," MIT Lincoln Laboratory, Lexington, Massachusetts, January 16, 2009.

15. "Level Set Margin-Based Classification," Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland, January 13, 2009.

14. "Supervised Learning of Classifiers via Level Set Segmentation," IEEE International Workshop on Machine Learning for Signal Processing, Cancún, Mexico, October 18, 2008.

13. "Classification and Linear Dimensionality Reduction via Level Set Segmentation," Stochastic Systems Group, Massachusetts Institute of Technology, Cambridge, Massachusetts, October 8, 2008.

12. "Minimum Mean Bayes Risk Error Quantization of Prior Probabilities," IEEE International Conference on Acoustics, Speech, and Signal Processing, Las Vegas, Nevada, April 1, 2008. (poster)

11. "Bayesian Hypothesis Testing with Prototype Priors," Stochastic Systems Group, Massachusetts Institute of Technology, Cambridge, Massachusetts, October 3, 2007.

10. "Multi-View Stereo Reconstruction of Total Knee Replacement from X-Rays," IEEE International Symposium on Biomedical Imaging, Arlington, Virginia, April 15, 2007. (poster)

9. "Discussion on Genomics," Stochastic Systems Group, Massachusetts Institute of Technology, Cambridge, Massachusetts, February 28, 2007.

8. "Wide-Angle SAR Image Formation with Sparsifying Regularization," MIT Lincoln Laboratory, Lexington, Massachusetts, January 30, 2007.

7. "From Different Angles," Stochastic Systems Group, Massachusetts Institute of Technology, Cambridge, Massachusetts, October 4, 2006.

6. "Wide-Angle SAR Image Formation with Sparsifying Regularization," Dipartimento di Ingegneria dell’Informazione, Facoltà di Ingegneria, Università di Pisa, Italy, July 17, 2006.

5. "Joint Image Formation and Anisotropy Characterization in Wide-Angle SAR," SPIE Defense and Security Symposium, Algorithms for Synthetic Aperture Radar Imagery XIII, Kissimmee, Florida, April 18, 2006. (poster)

4. "Wide-Angle SAR Imaging," Stochastic Systems Group, Massachusetts Institute of Technology, Cambridge, Massachusetts, April 5, 2006.

3. "A Sparse Signal Representation Framework for Anisotropy Characterization in SAR Imaging," LIDS Student Conference, Cambridge, Massachusetts, February 2, 2006.

2. "Anisotropy Characterization in Synthetic Aperture Radar using Sparse Signal Representation," Stochastic Systems Group, Massachusetts Institute of Technology, Cambridge, Massachusetts, October 5, 2005.

1. "Block-segmentation and Classification of Grayscale Postal Images," Bits on our Mind Symposium, Ithaca, New York, March 3, 2004.