Sanjeev R. Kulkarni

Publications

BOOKS, MONOGRAPHS

 G. Harman and S.R. Kulkarni, Reliable Reasoning: Induction and Statistical Learning Theory, MIT Press, May 2007. Q. Wang, S.R. Kulkarni, S. Verdú, "Universal Estimation of Information Measures for Analog Sources", Foundations and Trends in Communications and Information Theory, Vol. 5, No. 3, pp. 265-353, 2009. S.R. Kulkarni and G. Harman, An Elementry Introduction to Statistical Learning Theory, Wiley, June 2011.

TOP

JOURNAL PUBLICATIONS

1. M.K. Miller, G. Wang, S.R. Kulkarni, H.V. Poor, D. Osherson, "Citizen Forecasts of the 2008 U.S. Presidential Election," Politics & Policy, Vol. 40, No. 6, pp. 1019-1052, 2012.
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2. D. Shutin, S.R. Kulkarni, H.V. Poor, "Incremental Reformulated Automatic Relevance Determination," IEEE Transactions on Signal Processing, Vol. 60, Issue 9, pp. 4977-4981, Sept. 2012.
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3. A. Jain, D. Gunduz, S.R. Kulkarni, H.V. Poor, S. Verdú, "Energy-Distortion Tradeoffs in Gaussian Joint Source-Channel Coding Problems," IEEE Transactions on Information Theory, Vol. 58, No. 5, pp. 3153-3168, May 2012.
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4. D. Shutin, C. Zechner, S.R. Kulkarni, H.V. Poor, "Regularized Variational Bayesian Learning of Echo State Networks with Delay \& Sum Readout," Neural Computation, Vol. 24, No. 4, pp. 967-995, April 2012.
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5. J. Yu, S.R. Kulkarni, H.V. Poor, "Robust Ellipse and Spheroid Fitting," Pattern Recognition Letters, Vol. 33, Issue 5, pp. 492-499, April 2012.

6. A. Jain, S.R. Kulkarni, S. Verdú, "Energy Efficiency of Decode-and-Forward for Wideband Wireless Multicasting," IEEE Transactions on Information Theory, Vol. 57, No. 12, pp. 7695-7713, Dec. 2011.
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7. D. Shutin, T. Buchgraber, S.R. Kulkarni, H.V. Poor, "Fast Variational Sparse Bayesian Learning with Automatic Relevance Determination," IEEE Transactions on Signal Processing, Vol. 59, No. 12, pp. 6257-6261, Dec. 2011.
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8. A.B. Wagner, P. Viswanath, S.R. Kulkarni, "Probability Estimation in the Rare-Events Regime," IEEE Transactions on Information Theory, Vol. 57, No. 6, pp. 3207-3229, June 2011.
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9. G. Wang, S.R. Kulkarni, H.V. Poor, D. Osherson, "Aggregating Large Sets of Probabilistic Forecasts by Weighted Coherent Adjustment," Decision Analysis, Vol. 8, No. 2, pp. 128-144, June 2011.
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10. S.R. Kulkarni and G. Harman, "Statistical Learning: A Tutorial," Wiley Interdisciplinary Reviews: Computational Statistics, Vol. 3 pp. 543-556, 2011.
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11. A. Jain, S.R. Kulkarni, S. Verdú, "Multicasting in Large Wireless Networks: Bounds on the Minimum Energy per Bit," IEEE Transactions on Information Theory, Vol. 57, No. 1, pp. 14-32, January 2011.
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12. H. Zheng, S.R. Kulkarni, H.V. Poor, "Attribute-distributed Learning: Models, Limits and Algorithms," IEEE Transactions on Signal Processing, Vol. 59, No. 1, pp. 386-398, January 2011.
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13. J. Yu, H. Zheng, S.R. Kulkarni, H.V Poor, "Two-Stage Outlier Elimination for Robust Curve and Surface Fitting," EURASIP Journal on Advances in Signal Processing, Vol. 2010, Article ID 154891, 13 pages, 2010.
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14. S. Brunton, C.W. Rowley, S.R. Kulkarni, C. Clarkson, "Maximum Power Point Tracking for Photovoltaic Optimization Using Ripple-Based Extremum Seeking Control," IEEE Transactions on Power Electronics , Vol. 25, No. 10, pp. 2531-2540, October 2010.
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15. F. Perez-Cruz and S.R. Kulkarni, "Robust and Low Complexity Distributed Kernel Least Squares Learning in Sensor Networks," IEEE Signal Processing Letters, Vol. 17, No. 4, pp. 355-358, April 2010.
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16. J. B. Predd, R. Seiringer, E. J. Lieb, D. Osherson, S.R. Kulkarni, H.V. Poor, "Probabilistic Coherence and Proper Scoring Rules," IEEE Transactions on Information Theory, Vol. 55, No. 10, pp. 4786-4792, October 2009.
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17. G. Harman, S.R. Kulkarni, "Precis of Reliable Reasoning: Induction and Statistical Learning Theory" and "Response to Shafer, Thagard, Strevens, and Hanson," Abstracta, Special Issue III, pp. 5-9, 47-56, 2009.
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18. C.-C. Wang, S.R. Kulkarni, H.V. Poor, "Finding All Small Error-Prone Substructures in LDPC Codes," IEEE Transactions on Information Theory, Vol. 55, No. 5, pp. 19761998, May 2009.
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19. Q. Wang, S.R. Kulkarni, and S. Verdú, "Divergence estimation for multi-dimensional distributions via k-nearest-neighbor distances," IEEE Transactions on Information Theory, Vol. 55, No. 5, pp. 2392-2405, May 2009.
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20. J.B. Predd, S.R. Kulkarni, H.V. Poor, "A Collaborative Training Algorithm for Distributed Learning," IEEE Transactions on Information Theory, Vol. 55, No. 4, pp. 1856-1871, April 2009.
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21. J. Deng, Y.S. Han, S.R. Kulkarni, "Can Multiple Subchannels Improve the Delay Performance of RTS/CTS-based MAC Schemes?" IEEE Transactions on Wireless Communications, Vol. 8, No. 4, pp. 1591-1596, April 2009.
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22. J.B. Predd, D. Osherson, S.R. Kulkarni, H.V. Poor, "Aggregating Forecasts of Chance from Incoherent and Abstaining Experts," Decision Analysis, Vol. 5, No. 4, pp. 177-189, December 2008.
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23. A.P. George, W.B. Powell, and S.R. Kulkarni, "Value Function Approximation Using Hierarchical Aggregation or Multiattribute Resource Management," Journal of Machine Learning Research, Vol. 9, pp.2079–2111, October 2008.
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24. H. Li, P.R. Barbosa, E.K.P. Chong, J. Hannig, and S.R. Kulkarni, "Zero-error target tracking with limited communication," IEEE Journal on Selected Areas in Communications, special issue on Control and Communications, Vol. 26, no. 4, pp. 686–694, May 2008.
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25. A.C. Lozano, S.R. Kulkarni, P. Viswanath, "Throughput Scaling in Wireless Networks with Restricted Mobility," IEEE Transactions on Wireless Communications, Vol. 6, No. 2, Feb. 2007.
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26. C.-C. Wang, S.R. Kulkarni, H.V. Poor, "On Finite-Dimensional Bounds on Zm and Binary LDPC Codes with Belief Propagation Decoders," IEEE Transactions on Information Theory, Vol. 53, No. 1, pp. 56-81, January 2007.
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27. G. Harman and S.R. Kulkarni, "The Problem of Induction," Philosophy and Phenomenological Research, Vol. 72, No. 3, pp. 559-575, 2006.
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28. J.B. Predd, S.R. Kulkarni, H.V. Poor, "Distributed Learning for Decentralized Inference in Wireless Sensor Networks," IEEE Signal Processing Magazine, Special Issue on Distributed Signal Processing in Wireless Sensor Networks, Vol. 23, No. 4, pp. 56-69, July 2006.
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29. H. Cai, S.R. Kulkarni, S. Verdú, "An Algorithm for Universal Lossless Compression with Side Information," IEEE Transactions on Information Theory, Vol. 52, pp.4008-4016, Sep. 2006.
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30. H. Cai, S.R. Kulkarni, S. Verdú, "Universal Divergence Estimation for Finite-Alphabet Sources," IEEE Transactions on Information Theory, Vol. 52, pp. 3456-3475, Aug. 2006.
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31. J. Hannig, E.K.P. Chong, S.R. Kulkarni, Relative frequencies of generalized simulated annealing,'' Mathematics of Operations Research, Vol. 31, No. 1, pp. 199-216, February 2006.
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32. A. Marar, W.B. Powell, S.R. Kulkarni, "Combining Cost-Based and Rule-Based Knowledge in Complex Resource Allocation Problems," IIE Transactions, Vol. 38, No. 2, pp. 159-172, 2006.
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33. J. B. Predd, S.R. Kulkarni, H. V. Poor, "Consistency in Models of Distributed Learning Under Communication Constraints," IEEE Transactions on Information Theory, Vol. 52, No. 1, pp. 52-63, Jan. 2006.
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34. C.-C. Wang, S.R. Kulkarni, H.V. Poor, "Density Evolution for Asymmetric Memoryless Channels," IEEE Transactions on Information Theory, Vol. 51, No. 12, pp. 4216-4236, Dec. 2005.
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35. Q. Wang, S.R. Kulkarni, S. Verdú, "Divergence Estimation of Continuous Distributions Based on Data-Dependent Partitions," IEEE Transactions on Information Theory, Vol. 51, No. 9, pp. 3064-3074, Sept. 2005.
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36. C.-C. Wang, S.R. Kulkarni, H.V. Poor, "Arbitrary Side Observations in Bandit Problems," Advances in Applied Mathematics (special David Robbins memorial issue), Vol. 34, No. 4, pp. 903-938, May 2005.
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37. C.-C. Wang, S.R. Kulkarni, H.V. Poor, Bandit Problems With Side Observations,'' IEEE Transactions on Automatic Control, Vol. 50, No. 3, pp. 338-355, March 2005.
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38. A. Reznik, S.R. Kulkarni, S. Verdú, Degraded Gaussian Multi-Relay Channel: Capacity and Optimal Power Allocation,'' IEEE Transactions on Information Theory, Vol. IT-50, No. 12, pp.3037-3046, December 2004.
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39. A. Jovicic, P. Viswanath and S.R. Kulkarni, Upper Bounds to Transport Capacity of Wireless Networks,'' IEEE Transactions on Information Theory, Vol. 50, No. 11, pp. 2555-2565, November 2004.
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40. A. Reznik, S.R. Kulkarni, S. Verdú, A Small World' Approach to Heterogeneous Networks,'' Communications in Information and Systems, Vol. 3, No. 4, pp.325-348, Sep. 2004.
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41. H. Cai, S.R. Kulkarni, S. Verdú, Universal Estimation of Entropy Via Block Sorting,'' IEEE Transactions on Information Theory, Vol. 50, No. 7, pp. 1551-1561, July 2004.
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42. S.R. Kulkarni and P. Viswanath, A Deterministic Approach to Throughput Scaling in Wireless Networks,'' IEEE Transactions on Information Theory, Vol. 50, No. 6, pp. 1041-1049, June 2004.
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43. R.J. Radke, P.J. Ramadge, S.R. Kulkarni, T. Echigo, Efficiently Synthesizing Virtual Video,'' IEEE Transactions on Circuits and Systems for Video Technology, Vol. 13, No. 4, pp. 325-337, April 2003.
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44. S. Sandilya and S.R. Kulkarni, Principal Curves with Bounded Turn,'' IEEE Transactions on Information Theory, Oct. 2002.
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45. S.R. Kulkarni, S.E. Posner, S. Sandilya, Data-dependent kn-NN and Kernel Estimators Consistent for Arbitrary Processes,'' IEEE Transactions on Information Theory, Vol. 48, No. 10, pp. 2785-2788, Oct. 2002.
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46. M. Effros, K. Visweswariah, S.R. Kulkarni, S. Verdú, Universal Lossless Source Coding With the Burrows Wheeler Transform,'' IEEE Transactions on Information Theory,Vol. 48, No. 5, pp. 1061-1081, May 2002.
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47. S. Sandilya and S.R. Kulkarni, Nonparametric Control Algorithms for Nonlinear Fading Memory Systems,'' IEEE Transactions on Automatic Control, Vol. 46, No. 7, pp. 1117-1121, July 2001.
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48. K. Visweswariah, S.R. Kulkarni, S. Verdú, Universal Variable-to-Fixed Length Source Codes,'' IEEE Transactions on Information Theory, Vol. 47, No. 4, pp. 1461-1472, May 2001.
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49. P.L. Bartlett, S. Ben David, S.R. Kulkarni, Learning Changing Concepts by Exploiting the Structure of Change,'' Machine Learning, Vol. 41, No., pp. 153-174, Nov. 2000.
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50. K. Visweswariah, S.R. Kulkarni, S. Verdú, Separation of Random Number Generation and Resolvability," IEEE Transactions on Information Theory, Vol. 46, No. 6, pp. 2237-2241, Sept. 2000.
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51. K. Visweswariah, S.R. Kulkarni, S. Verdú, Universal Coding of Nonstationary Sources,'' IEEE Transactions on Information Theory, Vol. 46, No. 4, pp. 1633-1637, July 2000.
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52. K. Visweswariah, S.R. Kulkarni, S. Verdú, Asymptotically Optimal Variable-to-Fixed Length Codes for Markov Sources,'' Journal of Combinatorics, Information, and System Sciences, Vol. 25, 2000.
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53. S.R. Kulkarni and G. Lugosi, Finite Time Lower Bounds for the Two-Armed Bandit Problem,'' IEEE Transactions on Automatic Control, Vol. 45, No. 4, pp. 711-714, April 2000.
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54. Y.-P. Tan, D.D. Saur, S.R. Kulkarni, P.J. Ramadge, Rapid Estimation of Camera Motion from Compressed Video With Application to Video Annotation,'' IEEE Transactions on Circuits and Systems for Video Technology, Vol. 10, No. 1, pp.133-146, Feb. 2000.
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55. M. Vidyasagar and S.R. Kulkarni, Some Contributions to Fixed-Distribution Learning Theory,'' IEEE Transactions on Automatic Control, Vol. 45, No. 2, pp. 217-234, Feb. 2000.
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56. E.K.P. Chong, I.-J. Wang, S.R. Kulkarni, Noise Conditions for Prespecified Convergence Rates of Stochastic Approximation Algorithms,'' IEEE Transactions on Information Theory,
Vol. 45, No. 2, pp. 810-814, March 1999.
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57. G. Morvai, S.R. Kulkarni, A.B. Nobel, Regression Estimation from an Individual Stable Sequence,'' Statistics, Vol. 33, pp. 99-118, 1999.
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58. S.R. Kulkarni and S.E. Posner, Nonparametric Output Prediction for Nonlinear Fading Memory Systems,'' IEEE Transactions on Automatic Control, Vol. 44, No.1, pp. 29-37, Jan. 1999.
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59. S. Di Gennaro, C. Horn, S.R. Kulkarni, P.J. Ramadge, Reduction of Timed Hybrid Systems,'' Discrete Event Dynamic Systems -- Theory and Applications, Vol. 8, No. 4, pp. 343-351, Dec. 1998.
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60. S.R. Kulkarni, G. Lugosi, S.S. Venkatesh, Learning Pattern Classification -- A Survey,'' IEEE Transactions on Information Theory, Vol. 44, No. 6, pp. 2178-2206, Oct. 1998.
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61. P.L. Bartlett and S.R. Kulkarni, The Complexity of Model Classes, and Smoothing Noisy Data," Systems and Control Letters, Vol. 34, No. 3, pp. 133-140, June 1998.
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62. J. Hocherman-Frommer, S.R. Kulkarni, P.J. Ramadge, Controller Switching Based on Output Prediction Errors,'' IEEE Transactions on Automatic Control, Vol. 43, No. 5, pp. 596-607, May 1998.
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63. H. Schweitzer and S.R. Kulkarni, Computational Limitations of Model-Based Recognition,'' International Journal of Intelligent Systems, Vol. 13, No. 5, pp. 431-443, May 1998.
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64. K. Visweswariah, S.R. Kulkarni, S. Verdú, Source Codes as Random Number Generators,'' IEEE Transactions on Information Theory, Vol. 44, No. 2, pp. 462-471, March 1998.
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65. A.B. Nobel, G. Morvai, S.R. Kulkarni, Density Estimation from an Individual Numerical Sequence,'' IEEE Transactions on Information Theory, Vol. 44, No. 2, pp. 537-541, March 1998.
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66. I.-J. Wang, E.K.P. Chong, S.R. Kulkarni, Weighted Averaging and Stochastic Approximation,'' Mathematics of Control, Signals, and Systems, Vol. 10, No. 1, pp. 41-60, 1997.
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67. P. Bartlett, S.R. Kulkarni, S.E. Posner, Covering Numbers for Classes of Real-Valued Function,'' IEEE Transactions on Information Theory, Vol. 43, No. 5, pp. 1721-1724, Sept. 1997.
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68. S.R. Kulkarni and M. Vidyasagar, Learning Decision Rules for Pattern Classification Under a Family of Probability Measures,'' IEEE Transactions on Information Theory, Vol. 43, No. 1, pp. 154-166, January 1997.
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69. S.R. Kulkarni and P.J. Ramadge, Model and Controller Switching Policies Based on Output Prediction Errors,'' IEEE Transactions on Automatic Control, Vol. 41, No. 11, pp. 1594-1604, November 1996.
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70. I.-J. Wang, E.K.P. Chong, and S.R. Kulkarni, Equivalent Necessary and Sufficient Conditions on Noise Sequences for Stochastic Approximation Algorithms,'' Advances in Applied Probability, Vol. 28, No. 3, pp. 784-801, Sept. 1996.
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71. S. Wang, B. Liu, S.R. Kulkarni, Model-based Reconstruction of Multiple Circular and Elliptical Discs from a Limited Number of Projections,'' IEEE Transactions on Image Processing, Vol. 5, No. 9, pp. 1386-1390, Sept. 1996.
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72. W.C. Karl, S.R. Kulkarni, G.C. Verghese, and A.S. Willsky, Local Tests for Consistency of Support Hyperplane Data,'' Journal of Mathematical Imaging and Vision, Vol. 6, No. 2-3, pp. 249-267, June 1996.
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73. W. Lam and S.R. Kulkarni, Extended Synchronizing Codewords for Binary Prefix Codes,'' IEEE Transactions on Information Theory, Vol. 42, No. 3, pp. 984-987, May 1996.
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74. S.R. Kulkarni and C. Horn, An Alternative Proof for Convergence of Stochastic Approximation Algorithms,'' IEEE Transactions on Automatic Control, Vol. 41, No. 3, pp. 419-424, Mar. 1996.
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75. S.R. Kulkarni and O. Zeitouni, A General Classification Rule for Probability Measures,'' Annals of Statistics, Vol. 23, No. 4, pp. 1393-1407, 1995.
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76. S.R. Kulkarni and S.E. Posner, Rates of Convergence of Nearest Neighbor Estimation under Arbitrary Sampling,'' IEEE Transactions on Information Theory, Vol. 41, No. 4, pp. 1028-1039, July 1995.
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77. S.R. Kulkarni, S.K. Mitter, T.J. Richardson, J.N. Tsitsiklis, Local Versus Non-local Computation of Length of Digitized Curves,'' IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 16, No. 7, pp. 711-718, July 1994.
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78. R.M. Dudley, S.R. Kulkarni, T.J. Richardson, O. Zeitouni, A Metric Entropy Bound is Not Sufficient for Learnability,'' IEEE Transactions on Information Theory, Vol. 40, No. 3, pp. 883-885, May 1994.
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79. S.R. Kulkarni and D.N.C. Tse, A Paradigm for Class Identification Problems,'' IEEE Transactions on Information Theory, Vol. 40, No. 3, pp. 696-705, May 1994.
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80. S.R. Kulkarni, S.K. Mitter, J.N. Tsitsiklis, and O. Zeitouni, PAC Learning With Generalized Samples and an Application to Stochastic Geometry,'' IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 15, No. 9, pp. 933-942, Sept. 1993.
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81. S.R. Kulkarni, S.K. Mitter, J.N. Tsitsiklis, Active Learning Using Arbitrary Binary Valued Queries,'' Machine Learning, Vol. 11, No. 1, pp. 23-35, April 1993.
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82. A.S. Lele, S.R. Kulkarni, A.S. Willsky, Convex Polygon Estimation from Support Line Measurements and Applications to Target Reconstruction from Laser Radar Data,'' Journal of the Optical Society of America A, Vol. 9, No. 10, pp. 1693-1714, October 1992.
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83. S.R. Kulkarni, and O. Zeitouni, Can One Decide the Type of the Mean from the Empirical Measure?,'' Statistics & Probability Letters, Vol. 12, No. 4, pp. 323-327, October 1991.
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84. F.K. Knight, S.R. Kulkarni, R.M. Marino, J.K. Parker, Tomographic Techniques Applied to Laser Radar Reflective Projections,'' The Lincoln Laboratory Journal, Vol. 2, No. 2, pp. 143-158, Summer 1989.
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85. J.K. Parker, et al., Reflective tomography: images from range-resolved laser radar measurements,'' Applied Optics, Vol. 27, No. 13, pp. 2642-2643, July 1988.
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86. E. Barouch, and S. R. Kulkarni, Exact Solution of the Poisson-Boltzmann Equation for Two Spheres with Fixed Surface Potentials,'' Journal of Colloid and Interface Science, Vol. 112, No. 2, pp. 396-402, August 1986.
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BOOK CHAPTERS

1. S.R. Kulkarni and S.E. Posner, Universal Output Prediction and Nonparametric Regression for Arbitrary Data,'' in Learning, Control and Hybrid Systems, edt. by Y. Yamamoto and S. Hara, Lecture Notes in Control and Information Sciences Vol. 241, Springer-Verlag, pp. 254-268, 1999.

2. J. Hocherman-Frommer, S.R. Kulkarni, P.J. Ramadge,Controller Switching Based on Output Predictions,'' in Learning, Control and Hybrid Systems, edt. by Y. Yamamoto and S. Hara, Lecture Notes in Control and Information Sciences Vol. 241, Springer-Verlag, pp. 135-149, 1999.

3. S.R. Kulkarni and P.J. Ramadge, On the Performance and Complexity of a Class of Hybrid Controller Switching Policies,'' in Control Using Logic-Based Switching, edt. by S. Morse, Lecture Notes in Control and Information Sciences Vol. 222, Springer-Verlag, pp. 248-261, 1997.

4. S.R. Kulkarni, A Review of Some Extensions to the PAC Learning Model,'' in Learning and Geometry: Computational Approaches, edt. by C. Smith and D. Keuker, pp. 43-64, Birkhauser, Boston, 1996.

5. S.R. Kulkarni, A Review of Some Extensions to the PAC Learning Model,'' in Computing and Intelligent Systems, edt. by S.S. Keerthi,Y. Narahari, N. Viswanadham, Tata McGraw-Hill, 1994.

6. S.R. Kulkarni, S.K. Mitter, T.J. Richardson, An Existence Theorem and Lattice Approximations to a Variational Problem,'' Signal Pr
ocessing, Part I: Signal Processing Theory
, IMA Vol. 22, edt. by Auslander et al., Springer-Verlag, pp. 189-210, 1990.

TOP

CONFERENCES
1. S. Shang, S.R. Kulkarni, P.W. Cuff, P. Hui, "A Random Walk Based Model Incorporating Social Information for Recommendations," 2012 IEEE Machine Learning for Signal Processing Workshop (MLSP), Santander, Spain, September 2012.

2. Z. Zhang, S.R. Kulkarni, P.W. Cuff, "Iterative Collaborative Filtering for Recommender Systems with Sparse Data," 2012 IEEE Machine Learning for Signal Processing Workshop (MLSP), Santander, Spain, September 2012.

3. S. Shang, P. W. Cuff, S.R. Kulkarni, P. Hui, "An Upper Bound on the Convergence Time for Distributed Binary Consensus," 15th International Conference on Information Fusion, Singapore, July 2012.

4. T. Wang, P. Hui, S.R. Kulkarni, P.W. Cuff, "Cooperative Caching based on File Popularity Ranking in Delay Tolerant Networks," ExtremeCom '12, Z\"{u}rich, Switzerland, March 10-14, 2012.

5. J. Lunden, V. Koivunen, S.R. Kulkarni, H.V. Poor, "Exploiting spatial diversity in multiagent reinforcement learning based spectrum sensing," Proc. 4th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP '11), San Juan, Puerto Rico, Dec. 13-16, 2011.

6. J. Yu, S.R. Kulkarni, H.V Poor, "A Distributed Spring Model Algorithm for Sensor Localization Using Dimension Expansion and Hyperbolic Tangential Force," Proc. 4th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMPSAP '11), San Juan, Puerto Rico, December 13-16, 2011.

7. D. Shutin, S.R. Kulkarni, H.V. Poor, "Stationary Point Variational Bayesian Attribute-Distributed Sparse Learning with $\ell_1$ Sparsity Constraints," Proc. 4th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMPSAP '11), pp. 97-100, San Juan, Puerto Rico, December 13-16, 2011.

8. S. Shang, P. Hui, S.R. Kulkarni, P.W. Cuff, "Wisdom of the Crowd: Incorporating Social Influence in Recommendation Models," Proceedings 3rd IEEE International Workshop on Hot Topics in Peer-to-Peer Computing and Online Social Networking (HotPost), Tainan, Taiwan, December 2011. (Best Paper Award)

9. D. Shutin, T. Buchgraber, S.R. Kulkarni, H.V. Poor, "Fast Adaptive Variational Sparse Bayesian Learning with Automatic Relevance Determination," Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '11), pp. 2180-2183, Prague, Czech Republic, May 22-27, 2011.

10. Y. Wu, H. Zheng, R. Calderbank, S.R. Kulkarni, H.V. Poor, "On Optimal Precoding in Wireless Multicast Systems," Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '11), pp. 3068-3071, Prague, Czech Republic, May 22-27, 2011.

11. J. Lunden, V. Koivunen, S.R. Kulkarni, H.V. Poor, "Reinforcement Learning Based Distributed Multiagent Sensing Policy for Cognitive Radio Ad Hoc Networks," Proc. IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks Symposium (DySPAN), pp. 642-646, May 3-6, 2011.

12. G. Wang, S.R. Kulkarni, H.V. Poor, D.N. Osherson, "Improving Aggregated Forecasts of Probability," Proceedings of 45th Conference on Information Sciences and Systems, Baltimore, MD, March, 2011.

13. H. Zheng, S.R. Kulkarni, H.V. Poor, "Consensus Clustering: The Filtered Stochastic Best-One-Element-Move Algorithm," Proceedings of 45th Conference on Information Sciences and Systems, Baltimore, MD, March, 2011.

14. J. Yu, H. Zheng, S.R. Kulkarni, H.V. Poor, "A Cross-Validation Approach to Trajectory and Shape Reconstruction for Rigid Bodies," Proceedings of the 20th International Workshop on Machine Learning for Signal Processing, Kittila, Finland, Aug. 29 - Sep. 1, 2010.

15. H. Zheng, S.R. Kulkarni, H.V. Poor, "Attribute-Distributed Learning: The Iterative Covariance Optimization Algorithm and its Applications," American Control Conference, Baltimore, MD, July, 2010.

16. D. Shutin, H. Zheng, B.H. Fleury, S.R. Kulkarni, H.V. Poor, "Space-Alternating Attribute-Distributed Sparse Learning," Proc. 2nd International Workshop on Cognitive Information Processing (CIP '10), pp. 209-214, Elba Island, Italy, June, 2010.

17. H. Zheng, S.R. Kulkarni, H.V. Poor, "Agent Selection for Regression on Attribute Distributed Data," IEEE International Conference on Acoustics, Speech, and Signal Processing, Dallas, TX, March 14-19, 2010.

18. A. Jain, D. Gunduz, S.R. Kulkarni, H.V. Poor, S. Verdú, "Energy Efficient Lossy Transmission Over Sensor Networks With Feedback," IEEE International Conference on Acoustics, Speech, and Signal Processing, Dallas, TX, March 14-19, 2010.

19. A. Jain, S.R. Kulkarni, S. Verdú, "Minimum Energy per Bit for Wideband Wireless Multicasting: Performance of Decode-and-Forward," Twenty-Ninth IEEE Conference on Computer Communications (INFOCOM), San Diego, CA, March, 2010.

20. A. Jain, D. Gunduz, S. Kulkarni, H. V. Poor, and S. Verdú, "Energy-Distortion Tradeo with Multiple Sources and Feedback," Information Theory and Applications Workshop (ITA), University of California San Diego, La Jolla, CA, pp. 1-5, Feb. 2010.

21. A. Jain, D. Gunduz, S.R. Kulkarni, H.V. Poor, S. Verdú, "Energy-Distortion Tradeoffs in Multiple-access Channels with Feedback," IEEE Information Theory Workshop (ITW), Cairo, Egypt, January, 2010.

22. J. Yu, H. Zheng, S.R. Kulkarni, H.V. Poor, "Outlier Elimination for Robust Ellipse and Ellipsoid Fitting", Proceedings of the 3rd International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Aruba, Dutch Antilles, December, 2009.

23. J. Yu, S.R. Kulkarni, H.V. Poor, "Robust Fitting of Ellipses and Spheroids", Proceedings of Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, November 1-4, 2009.

24. A. Jain, S.R. Kulkarni, S. Verdú, "Minimum Energy per Bit for Gaussian Broadcast Channels with Cooperating Receivers and Common Message", Proc. Forty-Seventh Annual Allerton Conference on Communication, Control, and Computing, Monticello, IL, September, 2009.

25. H. Zheng, S.R. Kulkarni, H.V. Poor, "Collaborative training in sensor networks: A graphical models perspective", Proceedings of International Workshop on Machine Learning for Signal Processing, Grenoble, France, September, 2009.

26. H. Zheng, S.R. Kulkarni, H.V. Poor, "Cooperative Training for Attribute-Distributed Data: Trade-Off Between Data Transmission and Performance", Proceedings of the 12th International Conference on Information Fusion, pp. 664-671, Seattle, WA, July, 2009.

27. S. Brunton, C.W. Rowley, S.R. Kulkarni, C. Clarkson, "Maximum Power Point Tracking for Photovoltaic Optimization Using Extremum Seeking", 34th IEEE PVSC (Photovoltaic Specialist Conference), Philadelphia, PA, June 7-12, 2009.

28. F. Perez-Cruz and S.R. Kulkarni, "Distributed Least Square for Consensus Building in Sensor Networks", IEEE International Symposium on Information Theory, Seoul, South Korea, June, 2009.

29. A. Jain, S.R. Kulkarni, S. Verdú, "Multicasting in Large Random Wireless Networks: Bounds on the Minimum Energy per Bit", Proc. IEEE Symposium on Information Theory (ISIT), Seoul, South Korea, June, 2009.

30. G. Wang, S.R. Kulkarni, H.V. Poor, "Aggregating disparate judgments using a coherence penalty", Proceedings of Conference on Information Sciences and Systems, pp. 23-27, Baltimore, MD, March, 2009.

31. H. Zheng, S.R. Kulkarni, H.V. Poor, "Dimensionally Distributed Learning: Models and Algorithm", Proceedings of the Eleventh International Conference on Information Fusion, Cologne, Germany, June 30 - July 3, 2008.

32. A.B. Wagner, P. Viswanath, S.R. Kulkarni, "A Better Good-Turing Estimator for Sequence Probabilities," Proc. IEEE International Symposium on Information Theory, Nice, France, June 24-29, 2007.

33. A.B. Wagner, P. Viswanath, S.R. Kulkarni, "Better Turing Probability Estimation," Information Theory and Applications, San Diego, CA, Jan. 29 - Feb 2, 2007.

34. P.R. Barbosa, H. Li, E.K.P. Chong, J. Hannig, S.R. Kulkarni, "Zero-Error Target Tracking Through Limited Querying of One-Bit Sensors", Proceedings of the Forty-Fourth Annual Allerton Conference on Communication, Control, and Computing, Sept. 2006.

35. S.-H. Son, S.R. Kulkarni, and S.C. Schwartz, "Distributed Estimation with Dependent Observations in Wireless Sensor Networks", Proceedings of the European Signal Processing Conference (EUSIPCO), Florence, Italy, September 2006.

36. A.B. Wagner, P. Viswanath, S.R. Kulkarni, "Strong Consistency of the Good-Turing Estimator," Proc. IEEE International Symposium on Information Theory, Seattle, WA, July 9-14, 2006.

37. Q. Wang, S.R. Kulkarni and S. Verdú, "A nearest-neighbor approach to estimating divergence between continuous random vectors," Proc. IEEE International Symposium on Information Theory, Seattle, WA, July 9-14, 2006.

38. A.C. Lozano, S.R. Kulkarni, "Convergence and Consistency of Recursive Boosting", Proc. IEEE International Symposium on Information Theory, Seattle, WA, July 9-14, 2006.

39. C-C. Wang, S.R. Kulkarni, H.V. Poor, "Upper Bounding the Performance of Arbitrary Finite LDPC Codes on Binary Erasure Channels", Proc. International Symposium on Information Theory, Seattle, WA, July 9-14, 2006.

40. J. Hannig, E.K.P. Chong, and S.R. Kulkarni, "Relative Frequencies of Non-homogeneous Markov Chains in Simulated Annealing and Related Algorithms", (Invited paper), Proceedings of the Joint 44th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC'05), pp. 6626-6631, Seville, Spain, Dec. 12-15, 2005.

41. A.C. Lozano, S.R. Kulkarni, R.E. Schapire, "Convergence and Consistency of Regularized Boosting Algorithms With Stationary B-Mixing Observations", Advances in Neural Information Processing Systems, Vol. 18, pp. 819-826, NIPS 2005, Dec. 2005.

42. J.B. Predd, S.R. Kulkarni, H.V. Poor, "Distributed Kernel Regression: An Algorithm for Training Collaboratively", Proceedings of the IEEE Information Theory Workshop, ITW 2006 Punta del Este, Uruguay, October 2005.

43. H. Cai and S.R. Kulkarni and S. Verdú, "A universal lossless compressor with side information based on context tree weighting", Proc. IEEE International Symposium on Information Theory, Adelaide, Australia, Sept. 2005.

44. Q. Wang and S.R. Kulkarni and S. Verdú, "Universal estimation of divergence for continuous distributions via data-dependent partitions", Proc. IEEE International Symposium on Information Theory, Adelaide, Australia, Sept. 2005.

45. A.C. Lozano, S.R. Kulkarni, "A Wireless Network Can Achieve Maximum Throughput Without Each Node Meeting All Others", Proc. IEEE International Symposium on Information Theory, Adelaide, Australia, pp. 2119-2123, Sept. 2005.

46. A. Reznik, S.R. Kulkarni, S. Verdú, "Broadcast-Relay Channel: Capacity Region Bounds", Proc. International Symposium on Information Theory, Adelaide, Australia, Sept. 2005.

47. J.B. Predd, S.R. Kulkarni, H.V. Poor, "Distributed Regression in Sensor Networks: Training Distributively with Alternating Projections", (Invited paper), Proceedings of the SPIE Conference and Advanced Signal Processing Algorithms, Architectures, and Implementations XV, San Diego, CA, July 31-August 4, 2005.

48. G. Harman and S.R. Kulkarni, "The Problem of Induction" Rutgers Epistemology Conference, July 19, 2005.

49. J.B. Predd, S.R. Kulkarni, D. Osherson, H.V. Poor, "Scalable Algorithms for Aggregating Disparate Forecasts of Chance", (invited) Proceedings of the Ninth International Conference on Information Fusion, Florence, Italy, July 10-14, 2005.

50. S.-H. Son, M. Chiang, S.R. Kulkarni, and S.C. Schwartz, "The Value of Clustering in Distributed Estimation for Sensor Networks", Proc. IEEE International Conference on Wireless Networks, Communications, and Mobile Computing (WirelessCom), Vol. 2, pp.969-974, Maui, Hawaii, June, 2005.

51. C. C. Wang, S.R. Kulkarni, and H.V. Poor, "On the typicality of the linear code among the LDPC coset code ensemble", Proc. 39th Conf. Information Sciences and Systems, Baltimore, MD, March 16-18, 2005.

52. S.-H. Son, S.R. Kulkarni, S.C. Schwartz, M. Roan, "Communication-Estimation Tradeoffs in Wireless Sensor Networks", Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol. 5, pp. 1065-1068, Philadelphia, PA, March, 2005.

53. J. B. Predd, S.R. Kulkarni, H. V. Poor, "Distributed Learning in Wireless Sensor Networks", Proc. 42nd Annual Allerton Conference on Communication, Control, and Computing, Sept 29 - Oct 1, 2004.

54. S.-H. Son, S.R. Kulkarni, and S.C. Schwartz, "A Distributed Quickest Detection Scheme for Sensor Networks", Proc. International Conference on Computing, Communications, and Control Technologies, pp. 192-196, Austin, TX, August 14-17, 2004.

55. C-C. Wang, S.R. Kulkarni, H.V. Poor, "On Finite-Dimensional Bounds for LDPC-like Codes with Iterative Decoding", Proc. International Symposium on Information Theory and Its Applications, Parma, Italy, Oct. 10-13, 2004.

56. J. Predd, S.R. Kulkarni, H.V. Poor, "Consistency in Models for Communication Constrained Distributed Learning", Proc. 17th Annual Conference on Learning Theory, COLT 2004, Banff, Canada, July 1-4, 2004.

57. J. Predd, S.R. Kulkarni, H.V. Poor, "Consistency in a Model for Distributed Learning with Specialists", Proc. International Symposium on Information Theory, Chicago, IL, June 27 - July 2, 2004.

58. A. Lozano, S.R. Kulkarni, P. Viswanath, "Throughput Scaling in Wireless Networks with Restricted Mobility", Proc. International Symposium on Information Theory, p. 437, Chicago, IL, June 27 - July 2, 2004.

59. A. Reznik, S.R. Kulkarni, S. Verdú, "Scaling Laws in Random Heterogeneous Networks", Proc. International Symposium on Information Theory, p. 369, Chicago, IL, June 27 - July 2, 2004.

60. A. Jovicic, S.R. Kulkarni, P. Viswanath, "Upper Bounds to Transport Capacity in Wireless Networks", 42nd IEEE Conference on Decision and Control, December, 2003.

61. C.-C. Wang, S.R. Kulkarni, H.V. Poor, "Arbitrary Side Observations in Bandit Problems", 42nd IEEE Conference on Decision and Control, Vol. 3, pp. 2948-2953, Maui, HI, December 9-12, 2003.

62. C.-C. Wang, S.R. Kulkarni, H.V. Poor, "Density Evolution for Asymmetric Memoryless Channels", 3rd International Symposium on Turbo Codes and Related Topics, pp. 121-124, Brest, France, September 1-5, 2003.

63. S.R. Kulkarni and P. Viswanath, "Throughput Scaling for Heterogeneous Networks," Proc. International Symposium on Information Theory, Yokohama, Japan, June 29 - July 4, 2003.

64. G. Harman and S.R. Kulkarni, "Inductive simplicity and the Matrix," Proceedings of the 25th Annual Meeting of the Cognitive Science Society, 2003.

65. C.-C. Wang, S.R. Kulkarni, H.V. Poor, "Bandit Problems With Side Information", 41st IEEE Conference on Decision and Control, Vol. 4, pp. 3888-3993, Las Vegas, NV, December 10-13, 2002.

66. A. Reznik, S.R. Kulkarni, S. Verdú, "Capacity and Optimal Resource Allocation in the Degraded Gaussian Relay Channel with Multiple Relays," 40th Allerton Conference on Communication, Control, and Computing, Sept. 2002.

67. H. Cai, S.R. Kulkarni, S. Verdú, Universal Estimation of Entropy and Divergence Via Block Sorting,'' Proc. International Symposium on Information Theory, Lausanne, Switzerland, July 2002.

68. S.R. Kulkarni and P. Viswanath, A Deterministic View of Throughput Scaling in Wireless Networks,'' Proc. International Symposium on Information Theory, Lausanne, Switzerland, July 2002.

69. R.J. Radke, P.J. Ramadge, S.R. Kulkarni, T. Echigo, Using View Interpolation for Low Bit Rate Video,'' IEEE International Conference on Image Processing, Thessoloniki, Greece, October 2001.

70. R.J. Radke, V. Zogorodnov, S.R. Kulkarni, P.J. Ramadge, Estimating Correspondence in Digital Video,'' IEEE International Conference on Information Technology, Coding, and Compression, Las Vegas, Nevada, April, 2001.

71. R.J. Radke and S.R. Kulkarni, An Integrated Matlab Suite for Introductory DSP Education,'' 1st IEEE Signal Processing Education Workshop, Hunt, Texas, October 2000.

72. R.J. Radke, P.J. Ramadge, S.R. Kulkarni, T. Echigo, S. Iisaku, Recursive Propagation of Correspondences with Applications to the Creation of Virtual Video,'' IEEE International Conference on Image Processing, Vancouver, Canada, September 2000.

73. S. Sandilya and S.R. Kulkarni Principal Curves With Bounded Turn,'' Proc. International Symposium on Information Theory, June 2000.

74. K. Visweswariah, S.R. Kulkarni, S. Verdú, Output Distribution of the Burrows Wheeler Transform,'' Proc. International Symposium on Information Theory, p. 53, June 2000.

75. S. Sandilya and S.R. Kulkarni, Nonparametric Control Algorithms for Nonlinear Fading Memory Systems,'' Proc. 38th IEEE Conference on Decision and Control, pp. 4613-4618, Phoenix, AZ, Dec. 1999.

76. Y.-P. Tan, S.R. Kulkarni, P.J. Ramadge, A Framework for Measuring Video Similarity and Its Application to Video Query by Example,'' International Conference on Image Processing, Kobe, Japan, 1999.

77. K. Visweswariah and S.R. Kulkarni, Universal Variable-to-Fixed Length Source Codes for Markov Sources,'' Proc. International Symposium on Information Theory, p. 48, Aug., 1998.

78. A.B. Nobel, G. Morvai, S.R. Kulkarni, Density Estimation from an Individual Numerical Sequence,'' Proc. International Symposium on Information Theory, p. 355, Aug., 1998.

79. S.R. Kulkarni, S.E. Posner, S. Sandilya, Data-dependent $k_n$-NN Estimators Consistent for Arbitrary Processes,'' Proc. International Symposium on Information Theory, p. 388, Aug., 1998.

80. K. Visweswariah, S. Kulkarni, S. Verdú, Separation of Random Number Generation and Resolvability,'' Proc. of the Thirty-Sixth Allerton Conference on Communication, Control and Computing, Allerton, IL, Sept., 1998.

81. K. Visweswariah, S. Kulkarni, S. Verdú, Worst Case Bounds on Universal Variable-to-Fixed Length Source Codes,'' DIMACS Workshop on Codes and Trees, NJ, Oct., 1998.

82. Y.-P. Tan, S.R. Kulkarni, and P.J. Ramadge, The instability of Planar Mosaicking,'' Proc. 10th Yale Workshop on Adaptive and Learning Systems, Yale University, pp. 147-152, June 10-12, 1998.

83. S.R. Kulkarni and G. Lugosi, Minimax Lower Bounds for the Two-Armed Bandit Problem,'' Proc. 35th Conference on Decision and Control, Dec., 1997.

84. I.-J. Wang, E.K.P. Chong, S.R. Kulkarni, On Conditions for Convergence Rates of Stochastic Approximation Algorithms,'' Proc. 35th Conference on Decision and Control, Dec., 1997.

85. J. Hocherman-Frommer, S.R. Kulkarni, P.J. Ramadge, Controller Switching Based on Output Prediction Errors,'' Proc. 35th Conference on Decision and Control, Dec., 1997.

86. K. Visweswariah, S.R. Kulkarni, S. Verdú, Source Codes as Random Number Generators,'' Proc. International Symposium on Information Theory, Ulm, Germany, June, 1997.

87. S. Sandilya and S.R. Kulkarni, Deterministic Sufficient Conditions or Convergence of Simultaneous Perturbation Stochastic Approximation Algorithms,'' Ninth INFORMS Applied Probability Conference, Boston, MA, June, 1997.

88. C. Horn and S.R. Kulkarni, A Parameterized Kushner-Clark Condition for Stochastic Approximation Algorithms,'' Ninth INFORMS Applied Probability Conference, Boston, MA, June, 1997.

89. D.D. Saur, Y.-P. Tan, S.R. Kulkarni, P.J. Ramadge, Automated Analysis of Structured Video,'' IS\&T/SPIE Symposium of Electronic Imaging '97: Storage and Retrieval for Image and Video Databases, San Jose, CA, June, 1997.

90. K. Visweswariah, S. Kulkarni, and S. Verdú, The Lempel-Ziv algorithm as a Random Number Generator,'' Proc. International Conference on Combinatorics, Information Theory and Statistics, (Third Conference of the Forum for Interdisciplinary Mathematics), p. 88, University of Southern Maine, Portland, Maine, July 18-20, 1997.

91. P. Bartlett and S.R. Kulkarni, Complexity of Model Classes and Smoothing Noisy Observations,'' Proc. 35th Conference on Decision and Control, Dec., 1996.

92. I-J. Wang, E.K.P. Chong, S.R. Kulkarni, Weighted Averaging and Stochastic Approximation,'' Proc. 35th Conference on Decision and Control, Dec., 1996.

93. Y.-P. Tan, P.J. Ramadge, S.R. Kulkarni, Extracting Good Features for Motion Estimation,'' Proc. International Conference on Image Processing, Sept., 1996.

94. P.L. Bartlett, S. Ben David, S.R. Kulkarni, Learning Changing Concepts by Exploiting the Structure of Change,'' Proc. Ninth Annual Conference on Computational Learning Theory, June, 1996.

95. J. Hocherman-Frommer, S.R. Kulkarni, P.J. Ramadge, Time Varying Switched Control Based on Output Prediction Errors,'' Proc. 34th Conference on Decision and Control, pp. 2316-2317, Dec., 1995.

96. S.R. Kulkarni and P.J. Ramadge, Prediction Error Based Controller Selection Policies,'' Proc. 34th Conference on Decision and Control, pp. 3211-3216, Dec., 1995.

97. S.R. Kulkarni and P.J. Ramadge, On the Existence and Complexity of Convergent On-line Decision Rules,'' Proc. 34th Conference on Decision and Control, pp. 3022-3027, Dec., 1995.

98. S.R. Kulkarni and S.E. Posner, Universal Prediction of Nonlinear Systems,'' Proc. 34th Conference on Decision and Control, pp. 4024-4029, Dec., 1995.

99. S.R. Kulkarni and C.S. Horn, Necessary and Sufficient Conditions for Convergence of Stochastic Approximation Algorithms Under Arbitrary Disturbances,'' Proc. 34th Conference on Decision and Control, pp. 3843-3845, Dec., 1995.

100. I.-J. Wang, E.K.P. Chong, S.R. Kulkarni, On the Equivalence of Some Noise Conditions for Stochastic Approximation Algorithms,'' Proc. 34th Conference on Decision and Control, pp. 3849-3856, Dec., 1995.

101. J.S. Lerman and S.R. Kulkarni, Convex Set Estimation from Noisy Point Probe Measurements,'' Proc. International Conference on Image Processing, Oct., 1995.

102. Y.-P. Tan, S.R. Kulkarni, P.J. Ramadge, A New Method for Camera Motion Parameter Estimation,'' Proc. International Conference on Image Processing, Oct., 1995.

103. Y.-P. Tan, S.R. Kulkarni, P.J. Ramadge, Detection, Tracking, and Profile Estimation of Multiple Moving Objects,'' Proc. Second Asian Conference on Computer Vision, Dec., 1995.

104. S.E. Posner and S.R. Kulkarni, Some Results on Nonparametric Regression Estimation for Arbitrary Processes,'' Proc. of Allerton Conference, Sept., 1995.

105. S.E. Posner and S.R. Kulkarni, Nonparametric Regression Estimation for Arbitrary Random Processes,'' Proc. International Symposium on Information Theory, p. 251, Sept., 1995.

106. S.R. Kulkarni and O. Zeitouni, On the Existence of Strongly Consistent Rules for Estimation and Classification,'' Proc. International Symposium on Information Theory, p. 255, Sept., 1995.

107. S.E. Posner and S.R. Kulkarni, Consistent Regression Estimation Under Arbitrary Sampling,'' Proc. Information Theory Workshop, Rydzyna, Poland, June, 1995.

108. S. Di Gennaro, C. Horn, S.R. Kulkarni, P.J. Ramadge, Reduction of Timed Hybrid Systems,'' Proc. IEEE Conference on Decision and Control, Vol. 4, pp. 4215-4220, Dec., 1994.

109. J.S. Lerman, S.R. Kulkarni, and J. Koplowitz, Multiresolution Chain Coding,'' Proc. International Conference on Image Processing, Nov., 1994.

110. S. Wang, B. Liu, S.R. Kulkarni, Model-based Reconstruction of Multiple Discs from a Limited Number of Projections,'' Proc. International Conference on Image Processing, Nov., 1994.

111. S.E. Posner and S.R. Kulkarni, Consistency and Convergence Rates of $k_n$ Nearest Neighbor Estimation Under Arbitrary Sampling,'' Proc. Workshop on Information Theory and Statistics, Alexandria, VA, Oct., 1994.

112. I.-J. Wang, E.K.P. Chong, S.R. Kulkarni, Necessity of Kushner-Clark Condition for Convergence of Stochastic Approximation Algorithms,'' Proc. of Allerton Conference on Communication, Control, and Computing, Sept., 1994.

113. S.R. Kulkarni and S.K. Mitter, Variational versus Markov Random Field Methods for Image Segmentation,'' SPIE Conference on Neural and Stochastic Methods in Image and Signal Processing III, Vol. 2304, July 1994.

114. S.R. Kulkarni, and M. Vidyasagar, Learning Decision Rules for Pattern Classification Under a Family of Probability Measures,'' Proc. 1994 IEEE International Symposium on Information Theory, p. 113, June, 1994.

115. S.E. Posner and S.R. Kulkarni, Estimation by the Nearest Neighbor Rule Under Arbitrary Sampling,'' Proc. 1994 IEEE International Symposium on Information Theory, p. 41, June, 1994.

116. B. Liu, W. Wolf, S. Kulkarni, A. Wolfe, H. Kobayashi, F. Greenstein, A. Hsu, F. Arman, and Y. Liang, The Princeton Video Library of Politics,'' Proc. of Digital Libraries '94: First Annual Conference on the Theory and Practice of Digital Libraries, pp. 215-216, June, 1994.

117. C. Horn and S.R. Kulkarni, Convergence of the Kiefer-Wolfowitz Algorithm Under Arbitrary Disturbances,'' Proc. American Control Conference, June, 1994.

118. S. Kozu and S.R. Kulkarni, A New Technique for Blocked-Based Motion Compensation,'' International Conference on Acoustics Speech and Signal Processing, April, 1994.

119. S.R. Kulkarni, On Bandit Problems with Side Observations and Learnability,'' Proc. 31st Allerton Conference on Communication, Control, and Computing, pp. 83-92, September, 1993.

120. S.R. Kulkarni, S.K. Mitter, T.J. Richardson, J.N. Tsitsiklis, On Local Versus Non-local Computation of Length of Digitized Curves,'' Proc. of the 13th Conference Foundations of Software Technology & Theoretical Computer Science, Bombay, India, Springer-Verlag, pp. 94-103. December 1993.

121. S.R. Kulkarni and C. Horn, Convergence of the Robbins-Monro Algorithm Under Arbitrary Disturbances,'' Proc. 32nd IEEE Conference on Decision and Control, Vol. 1, pp. 537-544, December 1993.

122. S.R. Kulkarni, A Review of Some Extensions to the PAC Learning Model,'' Proc. of Silver Jubilee Workshop on Computing and Intelligent Systems, pp. 122-137, Bangalore, India, December 1993.

123. D.C. Dodd, S.R. Kulkarni, and W.H. Wolf, An Automatic Video-Based Vehicle Classification System,''
Proc. IEEE Regional Control Conference, NJIT, Aug. 1993.

124. S.R. Kulkarni, Applications of PAC Learning to Problems in Geometric Reconstruction,'' Proc. Twenty-seventh Annual Conf. on Information Sciences and Systems, Johns Hopkins University, March 1993, pp. 229-234.

125. S.E. Posner, and S.R. Kulkarni, On-Line Learning of Functions of Bounded Variation Under Various Sampling Schemes,'' Proc. Sixth Annual Workshop on Computational Learning Theory, pp.439-445, 1993.

126. S.R. Kulkarni and O. Zeitouni, On Probably Correct Classification of Concepts,'' Proc. Sixth Annual Workshop on Computational Learning Theory, pp. 111-116, 1993.

127. S.E. Posner and S.R. Kulkarni, On-line Learning of Linear Systems,'' American Control Conference, 1993.

128. W. Lam and S.R. Kulkarni, Extended Synchronizing Codewords for Binary Prefix Codes,'' IEEE International Symposium on Information Theory, San Antonio, TX, Jan., 1993.

129. N.L.A. Chang, S.R. Kulkarni, and J. Koplowitz, Adaptive Chain Coding for Arbitrary Curves,'' SPIE Vol. 1830, Curves and Surfaces in Computer Vision and Graphics III, pp. 296-307, 1992.

130. S.R. Kulkarni, S.K. Mitter, J.N. Tsitsiklis, and O. Zeitouni, PAC Learning With Generalized Samples and an Application to Stochastic Geometry,'' Proc. Fifth Annual Workshop on Computational Learning Theory, pp. 172-179, 1992.

131. S.R. Kulkarni and D.N.C. Tse, A Paradigm for Class Identification Problems,'' Princeton Conference on Information Sciences and Systems, pp. 442-447, 1992.

132. P. Milanfar, W.C. Karl, S.R. Kulkarni, and A.S. Willsky, Geometric Aspects of Tomographic Signal Processing,'' Workshop on Multidimensional Signal Processing, Lake Placid, NY, Sept., 1991.

133. S.K. Mitter, and S.R. Kulkarni, Learning and Adaptation in Machine Vision,'' American Control Conference, San Diego, May, 1990.

134. A.S. Lele, S.R. Kulkarni, A.S. Willsky, Convex Set Estimation from Support Line Measurements and Applications to Target Reconstruction from Laser Radar Data,'' SPIE Vol. 1222 Laser Radar V, pp. 58-82, Los Angeles, Jan., 1990.

135. S.R. Kulkarni, and S.K. Mitter, On Metric Entropy, Vapnik-Chervonenkis Dimension, and Learnability for a Class of Distributions,'' AAAI Symposium on Minimal Length Encoding, Stanford, March, 1990. Also, Center for Intelligent Control Systems Report CICS-160, M.I.T., 1989.

136. R.M. Marino, M.F. Reiley, K.I. Schultz, S.R. Kulkarni, A.S. Lele, Near Term Laser Radars: Performance Analysis Through Simulations,'' IRIS Active Systems, Boulder, Oct., 1988. (SECRET)

137. F.K. Knight, S.R. Kulkarni, A.S. Lele, 3D Reconstruction of Targets from 2D Angle-Angle Images,'' IRIS Active Systems, Orlando, Oct., 1987. (SECRET)

138. S.R. Kulkarni, et al., Image Reconstruction from Laser Radar Reflective Projections,'' DARPA Strategic Systems Symposium, Monterey, Oct., 1987. (SECRET)

TOP

TECHNICAL REPORTS, MEMORANDA, AND OTHER
1. S.R. Kulkarni, The Probability of Close Elections,'' contribution for Institute of Election Analysis, webpage http://www.leinsdorf.com, Nov. 16, 2000.

2. H. Shvaytser (Schweitzer) and S.R. Kulkarni, Computational Limitations of Model Based Recognition,'' Center for Intelligent Control Systems Report CICS-P-278, M.I.T., February, 1991.

3. S.R. Kulkarni, and S.K. Mitter, Some Discrete Approximations to a Variational Method for Image Segmentation,'' Laboratory for Information and Decision Systems Report LIDS-P-2014, M.I.T., January, 1991.

4. S.R. Kulkarni, A.S. Lele, M.F. Reiley, On the Qualitative Differences Between Tomographic Reconstructions from Range-resolved Versus Doppler-resolved Data,'' Lincoln Laboratory Project Memorandum 52PM-ODT-0042, August, 1989.

5. S.R. Kulkarni, Minkowski Content and Lattice Approximations to a Variational Problem,'' Center for Intelligent Control Systems Report CICS-95, M.I.T., 1988.

6. S.R. Kulkarni, and A.S. Lele, A Multiple Target Tracking Algorithm Supporting RV/Decoy Discrimination During Deployment,'' Lincoln Laboratory Project Memorandum 52PM-ODT-0026, November, 1988. (SECRET)

7. S.R. Kulkarni, and A.S. Lele, `TARMAN: A Computer Model for the Prediction of Laser Radar Signatures of Multiple Complex Dynamic Targets,'' Lincoln Laboratory Project Report ODT-7, November, 1987.

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