| 2009 |
|---|
| 62 | EE | Joel 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 |
|---|
| 61 | EE | Haipeng Zheng,
Sanjeev R. Kulkarni,
H. Vincent Poor:
Dimensionally Distributed Learning: Models and Algorithm
CoRR abs/0807.3050: (2008) |
| 60 | EE | Hua 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 |
|---|
| 59 | EE | Aaron B. Wagner,
Pramod Viswanath,
Sanjeev R. Kulkarni:
A Better Good-Turing Estimator for Sequence Probabilities
CoRR abs/0704.1455: (2007) |
| 58 | EE | C.-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) |
| 57 | EE | Aurelie 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 |
|---|
| 56 | EE | Joel B. Predd,
Sanjeev R. Kulkarni,
H. Vincent Poor:
Distributed Kernel Regression: An Algorithm for Training Collaboratively
CoRR abs/cs/0601089: (2006) |
| 55 | EE | Joel B. Predd,
Sanjeev R. Kulkarni,
Daniel N. Osherson,
H. Vincent Poor:
Scalable Algorithms for Aggregating Disparate Forecasts of Probability
CoRR abs/cs/0601131: (2006) |
| 54 | EE | Chih-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) |
| 53 | EE | Aaron B. Wagner,
Pramod Viswanath,
Sanjeev R. Kulkarni:
Strong Consistency of the Good-Turing Estimator
CoRR abs/cs/0607014: (2006) |
| 52 | EE | Chih-Chun Wang,
Sanjeev R. Kulkarni,
H. Vincent Poor:
Exhausting Error-Prone Patterns in LDPC Codes
CoRR abs/cs/0609046: (2006) |
| 51 | EE | Chih-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) |
| 50 | EE | Joel 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) |
| 49 | EE | Haixiao Cai,
Sanjeev R. Kulkarni,
Sergio Verdú:
Universal Divergence Estimation for Finite-Alphabet Sources.
IEEE Transactions on Information Theory 52(8): 3456-3475 (2006) |
| 48 | EE | Haixiao 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) |
| 2005 |
|---|
| 47 | EE | Aurelie C. Lozano,
Sanjeev R. Kulkarni,
Robert E. Schapire:
Convergence and Consistency of Regularized Boosting Algorithms with Stationary B-Mixing Observations.
NIPS 2005 |
| 46 | EE | Chih-Chun Wang,
Sanjeev R. Kulkarni,
H. Vincent Poor:
Bandit Problems with Side Observations
CoRR abs/cs/0501063: (2005) |
| 45 | EE | Chih-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) |
| 44 | EE | Joel B. Predd,
Sanjeev R. Kulkarni,
H. Vincent Poor:
Consistency in Models for Distributed Learning under Communication Constraints
CoRR abs/cs/0503071: (2005) |
| 43 | EE | Joel B. Predd,
Sanjeev R. Kulkarni,
H. Vincent Poor:
Distributed Learning in Wireless Sensor Networks
CoRR abs/cs/0503072: (2005) |
| 42 | EE | Joel B. Predd,
Sanjeev R. Kulkarni,
H. Vincent Poor:
Distributed Regression in Sensor Networks: Training Distributively with Alternating Projections
CoRR abs/cs/0507039: (2005) |
| 41 | EE | C.-C. Wang,
Sanjeev R. Kulkarni,
H. Vincent Poor:
Density Evolution for Asymmetric Memoryless Channels
CoRR abs/cs/0509014: (2005) |
| 40 | EE | Chih-Chun Wang,
Sanjeev R. Kulkarni,
H. Vincent Poor:
Density evolution for asymmetric memoryless channels.
IEEE Transactions on Information Theory 51(12): 4216-4236 (2005) |
| 39 | EE | Qing 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 |
|---|
| 38 | EE | Joel 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) |
| 36 | EE | Alex 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 |
|---|
| 29 | EE | Richard J. Radke,
Peter J. Ramadge,
Sanjeev R. Kulkarni,
Tomio Echigo:
Using view interpolation for low bit rate video.
ICIP (1) 2001: 453-456 |
| 28 | EE | Richard 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 |
|---|
| 13 | EE | Peter L. Bartlett,
Shai Ben-David,
Sanjeev R. Kulkarni:
Learning Changing Concepts by Exploiting the Structure of Change.
COLT 1996: 131-139 |
| 12 | EE | Song 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 |
|---|
| 11 | EE | Yap-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 |
| 8 | EE | Sanjeev 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 |
|---|
| 6 | EE | Sanjeev R. Kulkarni,
Ofer Zeitouni:
On Probably Correct Classification of Concepts.
COLT 1993: 111-116 |
| 5 | EE | S. E. Posner,
Sanjeev R. Kulkarni:
On-Line Learning of Functions of Bounded Variation under Various Sampling Schemes.
COLT 1993: 439-445 |
| 4 | | Sanjeev 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 |
| 3 | EE | Sanjeev 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 |
|---|
| 1 | EE | Sanjeev 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 |
