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Lawrence Carin: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Hui Li, Xuejun Liao, Lawrence Carin
    Incremental Least Squares Policy Iteration for POMDPs. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  2. Shaorong Chang, Nilanjan Dasgupta, Lawrence Carin
    A Bayesian Approach to Unsupervised Feature Selection and Density Estimation Using Expectation Propagation. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2005, pp:1043-1050 [Conf]
  3. Yanting Dong, Lawrence Carin
    Rate-Distortion Bound for Joint Compression and Classification. [Citation Graph (0, 0)][DBLP]
    DCC, 2003, pp:423- [Conf]
  4. Hui Li, Xuejun Liao, Lawrence Carin
    Region-based value iteration for partially observable Markov decision processes. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:561-568 [Conf]
  5. Xuejun Liao, Ya Xue, Lawrence Carin
    Logistic regression with an auxiliary data source. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:505-512 [Conf]
  6. David Williams, Xuejun Liao, Ya Xue, Lawrence Carin
    Incomplete-data classification using logistic regression. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:972-979 [Conf]
  7. Balaji Krishnapuram, Lawrence Carin
    Support Vector Machines for Improved Multiaspect Target Recognition Using the Fisher Scores of Hidden Markov Models. [Citation Graph (0, 0)][DBLP]
    JCIS, 2002, pp:354-357 [Conf]
  8. Balaji Krishnapuram, David Williams, Ya Xue, Alexander J. Hartemink, Lawrence Carin, Mário A. T. Figueiredo
    On Semi-Supervised Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  9. Xuejun Liao, Lawrence Carin
    Radial Basis Function Network for Multi-task Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  10. Balaji Krishnapuram, Lawrence Carin, Alexander J. Hartemink
    Joint classifier and feature optimization for cancer diagnosis using gene expression data. [Citation Graph (0, 0)][DBLP]
    RECOMB, 2003, pp:167-175 [Conf]
  11. Balaji Krishnapuram, Lawrence Carin, Alexander J. Hartemink
    Joint Classifier and Feature Optimization for Comprehensive Cancer Diagnosis Using Gene Expression Data. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Biology, 2004, v:11, n:2/3, pp:227-242 [Journal]
  12. Ya Xue, Xuejun Liao, Lawrence Carin, Balaji Krishnapuram
    Multi-Task Learning for Classification with Dirichlet Process Priors. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2007, v:8, n:, pp:35-63 [Journal]
  13. Priya Bharadwaj, Lawrence Carin
    Infrared-Image Classification Using Hidden Markov Trees. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2002, v:24, n:10, pp:1394-1398 [Journal]
  14. Yanting Dong, Lawrence Carin
    Rate-Distortion Analysis of Discrete-HMM Pose Estimation via Multiaspect Scattering Data. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2003, v:25, n:7, pp:872-883 [Journal]
  15. Shihao Ji, Balaji Krishnapuram, Lawrence Carin
    Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2006, v:28, n:4, pp:522-532 [Journal]
  16. Eric Jones, Paul Runkle, Nilanjan Dasgupta, Luise Couchman, Lawrence Carin
    Genetic Algorithm Wavelet Design for Signal Classification. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2001, v:23, n:8, pp:890-895 [Journal]
  17. Balaji Krishnapuram, Lawrence Carin, Mário A. T. Figueiredo, Alexander J. Hartemink
    Sparse Multinomial Logistic Regression: Fast Algorithms and Generalization Bounds. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2005, v:27, n:6, pp:957-968 [Journal]
  18. Balaji Krishnapuram, Alexander J. Hartemink, Lawrence Carin, Mário A. T. Figueiredo
    A Bayesian Approach to Joint Feature Selection and Classifier Design. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2004, v:26, n:9, pp:1105-1111 [Journal]
  19. Xuejun Liao, Lawrence Carin
    Application of the Theory of Optimal Experiments to Adaptive Electromagnetic-Induction Sensing of Buried Targets. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2004, v:26, n:8, pp:961-972 [Journal]
  20. Paul Runkle, Lawrence Carin, Luise Couchman, Timothy J. Yoder, Joseph A. Bucaro
    Multiaspect Target Identification with Wave-Based Matched Pursuits and Continuous Hidden Markov Models. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1999, v:21, n:12, pp:1371-1378 [Journal]
  21. David Williams, Xuejun Liao, Ya Xue, Lawrence Carin, Balaji Krishnapuram
    On Classification with Incomplete Data. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2007, v:29, n:3, pp:427-436 [Journal]
  22. Shihao Ji, Lawrence Carin
    Cost-sensitive feature acquisition and classification. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2007, v:40, n:5, pp:1474-1485 [Journal]
  23. Shaorong Chang, Lawrence Carin
    A modified SPIHT algorithm for image coding with a joint MSE and classification distortion measure. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2006, v:15, n:3, pp:713-725 [Journal]
  24. Nilanjan Dasgupta, Paul Runkle, Luise Couchman, Lawrence Carin
    Dual hidden Markov model for characterizing wavelet coefficients from multi-aspect scattering data. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2001, v:81, n:6, pp:1303-1316 [Journal]
  25. Narayan Kovvali, Wenbin Lin, Zhiqin Zhao, Luise Couchman, Lawrence Carin
    Rapid Prolate Pseudospectral Differentiation and Interpolation with the Fast Multipole Method. [Citation Graph (0, 0)][DBLP]
    SIAM J. Scientific Computing, 2006, v:28, n:2, pp:485-497 [Journal]
  26. Shihao Ji, Ronald Parr, Hui Li, Xuejun Liao, Lawrence Carin
    Point-Based Policy Iteration. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:1243-1249 [Conf]
  27. Kai Ni, Lawrence Carin, David Dunson
    Multi-task learning for sequential data via iHMMs and the nested Dirichlet process. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:689-696 [Conf]
  28. Ya Xue, David Dunson, Lawrence Carin
    The matrix stick-breaking process for flexible multi-task learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:1063-1070 [Conf]
  29. Shihao Ji, Lawrence Carin
    Bayesian compressive sensing and projection optimization. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:377-384 [Conf]
  30. Xuejun Liao, Hui Li, Lawrence Carin
    Quadratically gated mixture of experts for incomplete data classification. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:553-560 [Conf]

  31. Infinite Hidden Markov Models and ISA Features for Unusual-Event Detection in Video. [Citation Graph (, )][DBLP]


  32. Multi-task compressive sensing with Dirichlet process priors. [Citation Graph (, )][DBLP]


  33. Hierarchical kernel stick-breaking process for multi-task image analysis. [Citation Graph (, )][DBLP]


  34. The dynamic hierarchical Dirichlet process. [Citation Graph (, )][DBLP]


  35. Nonparametric factor analysis with beta process priors. [Citation Graph (, )][DBLP]


  36. A Stick-Breaking Construction of the Beta Process. [Citation Graph (, )][DBLP]


  37. Semi-Supervised Multitask Learning. [Citation Graph (, )][DBLP]


  38. Dirichlet process mixture models with multiple modalities. [Citation Graph (, )][DBLP]


  39. Active learning for semi-supervised multi-task learning. [Citation Graph (, )][DBLP]


  40. Multi-task classification with infinite local experts. [Citation Graph (, )][DBLP]


  41. Music analysis with a Bayesian dynamic model. [Citation Graph (, )][DBLP]


  42. Wideband Array Imaging of a Target Situated in an Unknown Random Media. [Citation Graph (, )][DBLP]


  43. The ATR Center and ATRpedia. [Citation Graph (, )][DBLP]


  44. Cybersecurity Strategies: The QuERIES Methodology. [Citation Graph (, )][DBLP]


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