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Sanjeev R. Kulkarni Vis

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*2009
67EEAman Jain, Sanjeev R. Kulkarni, Sergio Verdú: Multicasting in Large Wireless Networks: Bounds on the Minimum Energy per Bit CoRR abs/0905.3858: (2009)
66EEHaipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor: Cooperative Training for Attribute-Distributed Data: Trade-off Between Data Transmission and Performance CoRR abs/0907.5141: (2009)
65EEHaipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor: Collaborative Training in Sensor Networks: A graphical model approach CoRR abs/0907.5168: (2009)
64EEQing Wang, Sanjeev R. Kulkarni, Sergio Verdú: Universal Estimation of Information Measures for Analog Sources. Foundations and Trends in Communications and Information Theory 5(3): 265-353 (2009)
63EEJoel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor: A Collaborative Training Algorithm for Distributed Learning. IEEE Transactions on Information Theory 55(4): 1856-1871 (2009)
2008
62EEHaipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor: Dimensionally Distributed Learning: Models and Algorithm CoRR abs/0807.3050: (2008)
61EEHua Li, Patricia R. Barbosa, Edwin K. P. Chong, Jan Hannig, Sanjeev R. Kulkarni: Zero-error target tracking with limited communication. IEEE Journal on Selected Areas in Communications 26(4): 686-694 (2008)
2007
60EEAaron B. Wagner, Pramod Viswanath, Sanjeev R. Kulkarni: A Better Good-Turing Estimator for Sequence Probabilities CoRR abs/0704.1455: (2007)
59EEC.-C. Wang, Sanjeev R. Kulkarni, H. Vincent Poor: Finite-Dimensional Bounds on BBZm and Binary LDPC Codes With Belief Propagation Decoders. IEEE Transactions on Information Theory 53(1): 56-81 (2007)
58EEAurelie C. Lozano, Sanjeev R. Kulkarni, Pramod Viswanath: Throughput scaling in wireless networks with restricted mobility. IEEE Transactions on Wireless Communications 6(2): 670-679 (2007)
2006
57EEJoel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor: Distributed Kernel Regression: An Algorithm for Training Collaboratively CoRR abs/cs/0601089: (2006)
56EEJoel B. Predd, Sanjeev R. Kulkarni, Daniel N. Osherson, H. Vincent Poor: Scalable Algorithms for Aggregating Disparate Forecasts of Probability CoRR abs/cs/0601131: (2006)
55EEChih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor: Upper Bounding the Performance of Arbitrary Finite LDPC Codes on Binary Erasure Channels CoRR abs/cs/0605086: (2006)
54EEAaron B. Wagner, Pramod Viswanath, Sanjeev R. Kulkarni: Strong Consistency of the Good-Turing Estimator CoRR abs/cs/0607014: (2006)
53EEChih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor: Exhausting Error-Prone Patterns in LDPC Codes CoRR abs/cs/0609046: (2006)
52EEChih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor: Finite-Dimensional Bounds on Zm and Binary LDPC Codes with Belief Propagation Decoders CoRR abs/cs/0610052: (2006)
51EEJoel B. Predd, Sanjeev R. Kulkarni, Harold Vincent Poor: Consistency in models for distributed learning under communication constraints. IEEE Transactions on Information Theory 52(1): 52-63 (2006)
50EEHaixiao Cai, Sanjeev R. Kulkarni, Sergio Verdú: Universal Divergence Estimation for Finite-Alphabet Sources. IEEE Transactions on Information Theory 52(8): 3456-3475 (2006)
49EEHaixiao Cai, Sanjeev R. Kulkarni, Sergio Verdú: An Algorithm for Universal Lossless Compression With Side Information. IEEE Transactions on Information Theory 52(9): 4008-4016 (2006)
48EEJan Hannig, Edwin K. P. Chong, Sanjeev R. Kulkarni: Relative Frequencies of Generalized Simulated Annealing. Math. Oper. Res. 31(1): 199-216 (2006)
2005
47EEAurelie C. Lozano, Sanjeev R. Kulkarni, Robert E. Schapire: Convergence and Consistency of Regularized Boosting Algorithms with Stationary B-Mixing Observations. NIPS 2005
46EEChih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor: Bandit Problems with Side Observations CoRR abs/cs/0501063: (2005)
45EEChih-Chun Wang, H. Vincent Poor, Sanjeev R. Kulkarni: On the Typicality of the Linear Code Among the LDPC Coset Code Ensemble CoRR abs/cs/0502084: (2005)
44EEJoel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor: Consistency in Models for Distributed Learning under Communication Constraints CoRR abs/cs/0503071: (2005)
43EEJoel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor: Distributed Learning in Wireless Sensor Networks CoRR abs/cs/0503072: (2005)
42EEJoel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor: Distributed Regression in Sensor Networks: Training Distributively with Alternating Projections CoRR abs/cs/0507039: (2005)
41EEC.-C. Wang, Sanjeev R. Kulkarni, H. Vincent Poor: Density Evolution for Asymmetric Memoryless Channels CoRR abs/cs/0509014: (2005)
40EEChih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor: Density evolution for asymmetric memoryless channels. IEEE Transactions on Information Theory 51(12): 4216-4236 (2005)
39EEQing Wang, Sanjeev R. Kulkarni, Sergio Verdú: Divergence Estimation of Continuous Distributions Based on Data-Dependent Partitions. IEEE Transactions on Information Theory 51(9): 3064-3074 (2005)
2004
38EEJoel B. Predd, Sanjeev R. Kulkarni, Harold Vincent Poor: Consistency in Models for Communication Constrained Distributed Learning. COLT 2004: 442-456
37 Aleksandar Jovicic, Pramod Viswanath, Sanjeev R. Kulkarni: Upper bounds to transport capacity of wireless networks. IEEE Transactions on Information Theory 50(11): 2555-2565 (2004)
36EEAlex Reznik, Sanjeev R. Kulkarni, Sergio Verdú: Degraded Gaussian multirelay channel: capacity and optimal power allocation. IEEE Transactions on Information Theory 50(12): 3037-3046 (2004)
35 Sanjeev R. Kulkarni, Pramod Viswanath: A Deterministic Approach to Throughput Scaling in Wireless Networks. IEEE Transactions on Information Theory 50(6): 1041-1049 (2004)
34 Haixiao Cai, Sanjeev R. Kulkarni, Sergio Verdú: Universal entropy estimation via block sorting. IEEE Transactions on Information Theory 50(7): 1551-1561 (2004)
2003
33 Richard J. Radke, Peter J. Ramadge, Sanjeev R. Kulkarni, Tomio Echigo: Efficiently synthesizing virtual video. IEEE Trans. Circuits Syst. Video Techn. 13(4): 325-337 (2003)
2002
32 Sanjeev R. Kulkarni, S. E. Posner, S. Sandilya: Data-dependent kn-NN and kernel estimators consistent for arbitrary processes. IEEE Transactions on Information Theory 48(10): 2785-2788 (2002)
31 S. Sandilya, Sanjeev R. Kulkarni: Principal curves with bounded turn. IEEE Transactions on Information Theory 48(10): 2789-2793 (2002)
30 Michelle Effros, Karthik Visweswariah, Sanjeev R. Kulkarni, Sergio Verdú: Universal lossless source coding with the Burrows Wheeler Transform. IEEE Transactions on Information Theory 48(5): 1061-1081 (2002)
2001
29EERichard J. Radke, Peter J. Ramadge, Sanjeev R. Kulkarni, Tomio Echigo: Using view interpolation for low bit rate video. ICIP (1) 2001: 453-456
28EERichard J. Radke, Vitali Zagorodnov, Sanjeev R. Kulkarni, Peter J. Ramadge: Estimating Correspondence in Digital Video. ITCC 2001: 196-201
27 Karthik Visweswariah, Sanjeev R. Kulkarni, Sergio Verdú: Universal variable-to-fixed length source codes. IEEE Transactions on Information Theory 47(4): 1461-1472 (2001)
2000
26 Richard J. Radke, Peter J. Ramadge, Sanjeev R. Kulkarni, Tomio Echigo, Shun-ichi Iisaku: Recursive Propagation of Correspondences with Applications to the Creation of Virtual Video. ICIP 2000
25 Yap-Peng Tan, Drew D. Saur, Sanjeev R. Kulkarni, Peter J. Ramadge: Rapid estimation of camera motion from compressed video with application to video annotation. IEEE Trans. Circuits Syst. Video Techn. 10(1): 133-146 (2000)
24 Karthik Visweswariah, Sanjeev R. Kulkarni, Sergio Verdú: Universal coding of nonstationary sources. IEEE Transactions on Information Theory 46(4): 1633-1637 (2000)
23 Karthik Visweswariah, Sanjeev R. Kulkarni, Sergio Verdú: Separation of random number generation and resolvability. IEEE Transactions on Information Theory 46(6): 2237-2241 (2000)
22 Peter L. Bartlett, Shai Ben-David, Sanjeev R. Kulkarni: Learning Changing Concepts by Exploiting the Structure of Change. Machine Learning 41(2): 153-174 (2000)
1999
21 Yap-Peng Tan, Sanjeev R. Kulkarni, Peter J. Ramadge: A Framework for Measuring Video Similarity and Its Application to Video Query by Example. ICIP (2) 1999: 106-110
20 Edwin K. P. Chong, I-Jeng Wang, Sanjeev R. Kulkarni: Noise Conditions for Prespecified Convergence Rates of Stochastic Approximation Algorithms. IEEE Transactions on Information Theory 45(2): 810-814 (1999)
1998
19 Karthik Visweswariah, Sanjeev R. Kulkarni, Sergio Verdú: Source Codes as Random Number Generators. IEEE Transactions on Information Theory 44(2): 462-471 (1998)
18 Andrew B. Nobel, Gusztáv Morvai, Sanjeev R. Kulkarni: Density Estimation from an Individual Numerical Sequence. IEEE Transactions on Information Theory 44(2): 537-541 (1998)
17 Sanjeev R. Kulkarni, Gábor Lugosi, Santosh S. Venkatesh: Learning Pattern Classification - A Survey. IEEE Transactions on Information Theory 44(6): 2178-2206 (1998)
1997
16 Drew D. Saur, Yap-Peng Tan, Sanjeev R. Kulkarni, Peter J. Ramadge: Automated Analysis and Annotation of Basketball Video. Storage and Retrieval for Image and Video Databases (SPIE) 1997: 176-187
15 Sanjeev R. Kulkarni, M. Vidyasagar: Learning decision rules for pattern classification under a family of probability measures. IEEE Transactions on Information Theory 43(1): 154-166 (1997)
14 Peter L. Bartlett, Sanjeev R. Kulkarni, S. E. Posner: Covering numbers for real-valued function classes. IEEE Transactions on Information Theory 43(5): 1721-1724 (1997)
1996
13EEPeter L. Bartlett, Shai Ben-David, Sanjeev R. Kulkarni: Learning Changing Concepts by Exploiting the Structure of Change. COLT 1996: 131-139
12EESong Wang, Bede Liu, Sanjeev R. Kulkarni: Model-based reconstruction of multiple circular and elliptical objects from a limited number of projections. IEEE Transactions on Image Processing 5(9): 1386-1390 (1996)
1995
11EEYap-Peng Tan, Sanjeev R. Kulkarni, Peter J. Ramadge: A new method for camera motion parameter estimation. ICIP 1995: 406-409
10 Sanjeev R. Kulkarni, S. E. Posner: Rates of convergence of nearest neighbor estimation under arbitrary sampling. IEEE Transactions on Information Theory 41(4): 1028-1039 (1995)
1994
9 Song Wang, Bede Liu, Sanjeev R. Kulkarni: Image Reconstruction from a Limited Number of Projections: Detection/Estimation of Multiple Discs with Unknown RadII. ICIP (2) 1994: 854-858
8EESanjeev R. Kulkarni, Sanjoy K. Mitter, T. J. Richardson, John N. Tsitsiklis: Local Versus Nonlocal Computation of Length of Digitized Curves. IEEE Trans. Pattern Anal. Mach. Intell. 16(7): 711-718 (1994)
7 R. M. Dudley, Sanjeev R. Kulkarni, T. J. Richardson, Ofer Zeitouni: A metric entropy bound is not sufficient for learnability. IEEE Transactions on Information Theory 40(3): 883- (1994)
1993
6EESanjeev R. Kulkarni, Ofer Zeitouni: On Probably Correct Classification of Concepts. COLT 1993: 111-116
5EES. E. Posner, Sanjeev R. Kulkarni: On-Line Learning of Functions of Bounded Variation under Various Sampling Schemes. COLT 1993: 439-445
4EESanjeev R. Kulkarni, Sanjoy K. Mitter, T. J. Richardson, John N. Tsitsiklis: Local Versus Non-local Computation of Length of Digitized Curves. FSTTCS 1993: 94-103
3EESanjeev R. Kulkarni, Sanjoy K. Mitter, John N. Tsitsiklis, Ofer Zeitouni: PAC Learning with Generalized Samples and an Applicaiton to Stochastic Geometry. IEEE Trans. Pattern Anal. Mach. Intell. 15(9): 933-942 (1993)
2 Sanjeev R. Kulkarni, Sanjoy K. Mitter, John N. Tsitsiklis: Active Learning Using Arbitrary Binary Valued Queries. Machine Learning 11: 23-35 (1993)
1992
1EESanjeev R. Kulkarni, John N. Tsitsiklis, Sanjoy K. Mitter, Ofer Zeitouni: PAC Learning With Generalized Samples and an Application to Stochastic Geometry. COLT 1992: 172-179

Coauthor Index

1Patricia R. Barbosa [61]
2Peter L. Bartlett [13] [14] [22]
3Shai Ben-David [13] [22]
4Haixiao Cai [34] [49] [50]
5Edwin K. P. Chong [20] [48] [61]
6R. M. Dudley [7]
7Tomio Echigo [26] [29] [33]
8Michelle Effros [30]
9Jan Hannig [48] [61]
10Shun-ichi Iisaku [26]
11Aman Jain [67]
12Aleksandar Jovicic [37]
13Hua Li [61]
14Bede Liu [9] [12]
15Aurelie C. Lozano [47] [58]
16Gábor Lugosi [17]
17Sanjoy K. Mitter [1] [2] [3] [4] [8]
18Gusztáv Morvai [18]
19Andrew B. Nobel [18]
20Daniel N. Osherson [56]
21H. Vincent Poor (Harold Vincent Poor) [38] [40] [41] [42] [43] [44] [45] [46] [51] [52] [53] [55] [56] [57] [59] [62] [63] [65] [66]
22S. E. Posner [5] [10] [14] [32]
23Joel B. Predd [38] [42] [43] [44] [51] [56] [57] [63]
24Richard J. Radke [26] [28] [29] [33]
25Peter J. Ramadge [11] [16] [21] [25] [26] [28] [29] [33]
26Alex Reznik [36]
27T. J. Richardson [4] [7] [8]
28S. Sandilya [31] [32]
29Drew D. Saur [16] [25]
30Robert E. Schapire [47]
31Yap-Peng Tan [11] [16] [21] [25]
32John N. Tsitsiklis [1] [2] [3] [4] [8]
33Santosh S. Venkatesh [17]
34Sergio Verdú [19] [23] [24] [27] [30] [34] [36] [39] [49] [50] [64] [67]
35M. Vidyasagar [15]
36Pramod Viswanath [35] [37] [54] [58] [60]
37Karthik Visweswariah [19] [23] [24] [27] [30]
38Aaron B. Wagner [54] [60]
39C.-C. Wang [41] [59]
40Chih-Chun Wang [40] [45] [46] [52] [53] [55]
41I-Jeng Wang [20]
42Qing Wang [39] [64]
43Song Wang [9] [12]
44Vitali Zagorodnov [28]
45Ofer Zeitouni [1] [3] [6] [7]
46Haipeng Zheng [62] [65] [66]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)