The SCEAS System
Navigation Menu

Search the dblp DataBase

Title:
Author:

Sanjeev R. Kulkarni: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Drew D. Saur, Yap-Peng Tan, Sanjeev R. Kulkarni, Peter J. Ramadge
    Automated Analysis and Annotation of Basketball Video. [Citation Graph (1, 0)][DBLP]
    Storage and Retrieval for Image and Video Databases (SPIE), 1997, pp:176-187 [Conf]
  2. Peter L. Bartlett, Shai Ben-David, Sanjeev R. Kulkarni
    Learning Changing Concepts by Exploiting the Structure of Change. [Citation Graph (0, 0)][DBLP]
    COLT, 1996, pp:131-139 [Conf]
  3. Sanjeev R. Kulkarni, John N. Tsitsiklis, Sanjoy K. Mitter, Ofer Zeitouni
    PAC Learning With Generalized Samples and an Application to Stochastic Geometry. [Citation Graph (0, 0)][DBLP]
    COLT, 1992, pp:172-179 [Conf]
  4. Sanjeev R. Kulkarni, Ofer Zeitouni
    On Probably Correct Classification of Concepts. [Citation Graph (0, 0)][DBLP]
    COLT, 1993, pp:111-116 [Conf]
  5. S. E. Posner, Sanjeev R. Kulkarni
    On-Line Learning of Functions of Bounded Variation under Various Sampling Schemes. [Citation Graph (0, 0)][DBLP]
    COLT, 1993, pp:439-445 [Conf]
  6. Joel B. Predd, Sanjeev R. Kulkarni, Harold Vincent Poor
    Consistency in Models for Communication Constrained Distributed Learning. [Citation Graph (0, 0)][DBLP]
    COLT, 2004, pp:442-456 [Conf]
  7. Sanjeev R. Kulkarni, Sanjoy K. Mitter, T. J. Richardson, John N. Tsitsiklis
    Local Versus Non-local Computation of Length of Digitized Curves. [Citation Graph (0, 0)][DBLP]
    FSTTCS, 1993, pp:94-103 [Conf]
  8. Richard J. Radke, Peter J. Ramadge, Sanjeev R. Kulkarni, Tomio Echigo
    Using view interpolation for low bit rate video. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2001, pp:453-456 [Conf]
  9. 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. [Citation Graph (0, 0)][DBLP]
    ICIP, 2000, pp:- [Conf]
  10. Yap-Peng Tan, Sanjeev R. Kulkarni, Peter J. Ramadge
    A new method for camera motion parameter estimation. [Citation Graph (0, 0)][DBLP]
    ICIP, 1995, pp:406-409 [Conf]
  11. Yap-Peng Tan, Sanjeev R. Kulkarni, Peter J. Ramadge
    A Framework for Measuring Video Similarity and Its Application to Video Query by Example. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 1999, pp:106-110 [Conf]
  12. Song Wang, Bede Liu, Sanjeev R. Kulkarni
    Image Reconstruction from a Limited Number of Projections: Detection/Estimation of Multiple Discs with Unknown RadII. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 1994, pp:854-858 [Conf]
  13. Richard J. Radke, Vitali Zagorodnov, Sanjeev R. Kulkarni, Peter J. Ramadge
    Estimating Correspondence in Digital Video. [Citation Graph (0, 0)][DBLP]
    ITCC, 2001, pp:196-201 [Conf]
  14. Aurelie C. Lozano, Sanjeev Kulkarni, Robert E. Schapire
    Convergence and Consistency of Regularized Boosting Algorithms with Stationary B-Mixing Observations. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  15. Peter L. Bartlett, Shai Ben-David, Sanjeev R. Kulkarni
    Learning Changing Concepts by Exploiting the Structure of Change. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2000, v:41, n:2, pp:153-174 [Journal]
  16. Sanjeev R. Kulkarni, Sanjoy K. Mitter, John N. Tsitsiklis
    Active Learning Using Arbitrary Binary Valued Queries. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1993, v:11, n:, pp:23-35 [Journal]
  17. Sanjeev R. Kulkarni, Sanjoy K. Mitter, T. J. Richardson, John N. Tsitsiklis
    Local Versus Nonlocal Computation of Length of Digitized Curves. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1994, v:16, n:7, pp:711-718 [Journal]
  18. Sanjeev R. Kulkarni, Sanjoy K. Mitter, John N. Tsitsiklis, Ofer Zeitouni
    PAC Learning with Generalized Samples and an Applicaiton to Stochastic Geometry. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1993, v:15, n:9, pp:933-942 [Journal]
  19. Richard J. Radke, Peter J. Ramadge, Sanjeev R. Kulkarni, Tomio Echigo
    Efficiently synthesizing virtual video. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Circuits Syst. Video Techn., 2003, v:13, n:4, pp:325-337 [Journal]
  20. 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. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Circuits Syst. Video Techn., 2000, v:10, n:1, pp:133-146 [Journal]
  21. Song Wang, Bede Liu, Sanjeev R. Kulkarni
    Model-based reconstruction of multiple circular and elliptical objects from a limited number of projections. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1996, v:5, n:9, pp:1386-1390 [Journal]
  22. Peter L. Bartlett, Sanjeev R. Kulkarni, S. E. Posner
    Covering numbers for real-valued function classes. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1997, v:43, n:5, pp:1721-1724 [Journal]
  23. Haixiao Cai, Sanjeev R. Kulkarni, Sergio Verdú
    Universal entropy estimation via block sorting. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2004, v:50, n:7, pp:1551-1561 [Journal]
  24. Edwin K. P. Chong, I-Jeng Wang, Sanjeev R. Kulkarni
    Noise Conditions for Prespecified Convergence Rates of Stochastic Approximation Algorithms. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1999, v:45, n:2, pp:810-814 [Journal]
  25. R. M. Dudley, Sanjeev R. Kulkarni, T. J. Richardson, Ofer Zeitouni
    A metric entropy bound is not sufficient for learnability. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1994, v:40, n:3, pp:883-0 [Journal]
  26. Michelle Effros, Karthik Visweswariah, Sanjeev R. Kulkarni, Sergio Verdú
    Universal lossless source coding with the Burrows Wheeler Transform. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2002, v:48, n:5, pp:1061-1081 [Journal]
  27. Aleksandar Jovicic, Pramod Viswanath, Sanjeev R. Kulkarni
    Upper bounds to transport capacity of wireless networks. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2004, v:50, n:11, pp:2555-2565 [Journal]
  28. Sanjeev R. Kulkarni, Gábor Lugosi, Santosh S. Venkatesh
    Learning Pattern Classification - A Survey. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1998, v:44, n:6, pp:2178-2206 [Journal]
  29. Sanjeev R. Kulkarni, S. E. Posner
    Rates of convergence of nearest neighbor estimation under arbitrary sampling. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1995, v:41, n:4, pp:1028-1039 [Journal]
  30. Sanjeev R. Kulkarni, S. E. Posner, S. Sandilya
    Data-dependent kn-NN and kernel estimators consistent for arbitrary processes. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2002, v:48, n:10, pp:2785-2788 [Journal]
  31. Sanjeev R. Kulkarni, Pramod Viswanath
    A Deterministic Approach to Throughput Scaling in Wireless Networks. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2004, v:50, n:6, pp:1041-1049 [Journal]
  32. Sanjeev R. Kulkarni, M. Vidyasagar
    Learning decision rules for pattern classification under a family of probability measures. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1997, v:43, n:1, pp:154-166 [Journal]
  33. Andrew B. Nobel, Gusztáv Morvai, Sanjeev R. Kulkarni
    Density Estimation from an Individual Numerical Sequence. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1998, v:44, n:2, pp:537-541 [Journal]
  34. Joel B. Predd, Sanjeev R. Kulkarni, Harold Vincent Poor
    Consistency in models for distributed learning under communication constraints. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2006, v:52, n:1, pp:52-63 [Journal]
  35. Alex Reznik, Sanjeev R. Kulkarni, Sergio Verdú
    Degraded Gaussian multirelay channel: capacity and optimal power allocation. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2004, v:50, n:12, pp:3037-3046 [Journal]
  36. S. Sandilya, Sanjeev R. Kulkarni
    Principal curves with bounded turn. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2002, v:48, n:10, pp:2789-2793 [Journal]
  37. Karthik Visweswariah, Sanjeev R. Kulkarni, Sergio Verdú
    Universal coding of nonstationary sources. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2000, v:46, n:4, pp:1633-1637 [Journal]
  38. Karthik Visweswariah, Sanjeev R. Kulkarni, Sergio Verdú
    Separation of random number generation and resolvability. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2000, v:46, n:6, pp:2237-2241 [Journal]
  39. Karthik Visweswariah, Sanjeev R. Kulkarni, Sergio Verdú
    Universal variable-to-fixed length source codes. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2001, v:47, n:4, pp:1461-1472 [Journal]
  40. Karthik Visweswariah, Sanjeev R. Kulkarni, Sergio Verdú
    Source Codes as Random Number Generators. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1998, v:44, n:2, pp:462-471 [Journal]
  41. Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor
    Density evolution for asymmetric memoryless channels. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2005, v:51, n:12, pp:4216-4236 [Journal]
  42. Qing Wang, Sanjeev R. Kulkarni, Sergio Verdú
    Divergence Estimation of Continuous Distributions Based on Data-Dependent Partitions. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2005, v:51, n:9, pp:3064-3074 [Journal]
  43. Haixiao Cai, Sanjeev R. Kulkarni, Sergio Verdú
    Universal Divergence Estimation for Finite-Alphabet Sources. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2006, v:52, n:8, pp:3456-3475 [Journal]
  44. Haixiao Cai, Sanjeev R. Kulkarni, Sergio Verdú
    An Algorithm for Universal Lossless Compression With Side Information. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2006, v:52, n:9, pp:4008-4016 [Journal]
  45. C.-C. Wang, Sanjeev R. Kulkarni, H. Vincent Poor
    Finite-Dimensional Bounds on BBZm and Binary LDPC Codes With Belief Propagation Decoders. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2007, v:53, n:1, pp:56-81 [Journal]
  46. Aaron B. Wagner, Pramod Viswanath, Sanjeev R. Kulkarni
    A Better Good-Turing Estimator for Sequence Probabilities [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]
  47. Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor
    Finite-Dimensional Bounds on Zm and Binary LDPC Codes with Belief Propagation Decoders [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]
  48. Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor
    Exhausting Error-Prone Patterns in LDPC Codes [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]
  49. Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor
    Distributed Kernel Regression: An Algorithm for Training Collaboratively [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]
  50. Joel B. Predd, Sanjeev R. Kulkarni, Daniel N. Osherson, H. Vincent Poor
    Scalable Algorithms for Aggregating Disparate Forecasts of Probability [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]
  51. Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor
    Bandit Problems with Side Observations [Citation Graph (0, 0)][DBLP]
    CoRR, 2005, v:0, n:, pp:- [Journal]
  52. Chih-Chun Wang, H. Vincent Poor, Sanjeev R. Kulkarni
    On the Typicality of the Linear Code Among the LDPC Coset Code Ensemble [Citation Graph (0, 0)][DBLP]
    CoRR, 2005, v:0, n:, pp:- [Journal]
  53. Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor
    Consistency in Models for Distributed Learning under Communication Constraints [Citation Graph (0, 0)][DBLP]
    CoRR, 2005, v:0, n:, pp:- [Journal]
  54. Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor
    Distributed Learning in Wireless Sensor Networks [Citation Graph (0, 0)][DBLP]
    CoRR, 2005, v:0, n:, pp:- [Journal]
  55. Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor
    Upper Bounding the Performance of Arbitrary Finite LDPC Codes on Binary Erasure Channels [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]
  56. Aaron B. Wagner, Pramod Viswanath, Sanjeev R. Kulkarni
    Strong Consistency of the Good-Turing Estimator [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]

  57. Minimum Energy per Bit for Wideband Wireless Multicasting: Performance of Decode-and-Forward. [Citation Graph (, )][DBLP]


  58. Distributed Regression in Sensor Networks: Training Distributively with Alternating Projections [Citation Graph (, )][DBLP]


  59. Density Evolution for Asymmetric Memoryless Channels [Citation Graph (, )][DBLP]


  60. Dimensionally Distributed Learning: Models and Algorithm [Citation Graph (, )][DBLP]


  61. Multicasting in Large Wireless Networks: Bounds on the Minimum Energy per Bit [Citation Graph (, )][DBLP]


  62. Cooperative Training for Attribute-Distributed Data: Trade-off Between Data Transmission and Performance [Citation Graph (, )][DBLP]


  63. Collaborative Training in Sensor Networks: A graphical model approach [Citation Graph (, )][DBLP]


Search in 0.020secs, Finished in 0.022secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002