Lawrence Carin

2007
33		Shihao Ji, Ronald Parr, Hui Li, Xuejun Liao, Lawrence Carin: Point-Based Policy Iteration. AAAI 2007: 1243-1249
32	EE	Ya Xue, David Dunson, Lawrence Carin: The matrix stick-breaking process for flexible multi-task learning. ICML 2007: 1063-1070
31	EE	Shihao Ji, Lawrence Carin: Bayesian compressive sensing and projection optimization. ICML 2007: 377-384
30	EE	Xuejun Liao, Hui Li, Lawrence Carin: Quadratically gated mixture of experts for incomplete data classification. ICML 2007: 553-560
29	EE	Kai Ni, Lawrence Carin, David Dunson: Multi-task learning for sequential data via iHMMs and the nested Dirichlet process. ICML 2007: 689-696
28	EE	David Williams, Xuejun Liao, Ya Xue, Lawrence Carin, Balaji Krishnapuram: On Classification with Incomplete Data. IEEE Trans. Pattern Anal. Mach. Intell. 29(3): 427-436 (2007)
27	EE	Yuting Qi, John William Paisley, Lawrence Carin: Music Analysis Using Hidden Markov Mixture Models. IEEE Transactions on Signal Processing 55(11): 5209-5224 (2007)
26	EE	Shihao Ji, Ronald Parr, Lawrence Carin: Nonmyopic Multiaspect Sensing With Partially Observable Markov Decision Processes. IEEE Transactions on Signal Processing 55(6-1): 2720-2730 (2007)
25	EE	Ya Xue, Xuejun Liao, Lawrence Carin, Balaji Krishnapuram: Multi-Task Learning for Classification with Dirichlet Process Priors. Journal of Machine Learning Research 8: 35-63 (2007)
24	EE	Shihao Ji, Lawrence Carin: Cost-sensitive feature acquisition and classification. Pattern Recognition 40(5): 1474-1485 (2007)
2006
23		Hui Li, Xuejun Liao, Lawrence Carin: Incremental Least Squares Policy Iteration for POMDPs. AAAI 2006
22	EE	Hui Li, Xuejun Liao, Lawrence Carin: Region-based value iteration for partially observable Markov decision processes. ICML 2006: 561-568
21	EE	Wenbin Lin, Narayan Kovvali, Lawrence Carin: Pseudospectral method based on prolate spheroidal wave functions for semiconductor nanodevice simulation. Computer Physics Communications 175(2): 78-85 (2006)
20	EE	Shihao Ji, Balaji Krishnapuram, Lawrence Carin: Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning. IEEE Trans. Pattern Anal. Mach. Intell. 28(4): 522-532 (2006)
19	EE	Shaorong Chang, Lawrence Carin: A modified SPIHT algorithm for image coding with a joint MSE and classification distortion measure. IEEE Transactions on Image Processing 15(3): 713-725 (2006)
18	EE	Narayan Kovvali, Wenbin Lin, Zhiqin Zhao, Luise Couchman, Lawrence Carin: Rapid Prolate Pseudospectral Differentiation and Interpolation with the Fast Multipole Method. SIAM J. Scientific Computing 28(2): 485-497 (2006)
2005
17	EE	Shaorong Chang, Nilanjan Dasgupta, Lawrence Carin: A Bayesian Approach to Unsupervised Feature Selection and Density Estimation Using Expectation Propagation. CVPR (2) 2005: 1043-1050
16	EE	Xuejun Liao, Ya Xue, Lawrence Carin: Logistic regression with an auxiliary data source. ICML 2005: 505-512
15	EE	David Williams, Xuejun Liao, Ya Xue, Lawrence Carin: Incomplete-data classification using logistic regression. ICML 2005: 972-979
14	EE	Xuejun Liao, Lawrence Carin: Radial Basis Function Network for Multi-task Learning. NIPS 2005
13	EE	Balaji Krishnapuram, Lawrence Carin, Mário A. T. Figueiredo, Alexander J. Hartemink: Sparse Multinomial Logistic Regression: Fast Algorithms and Generalization Bounds. IEEE Trans. Pattern Anal. Mach. Intell. 27(6): 957-968 (2005)
2004
12	EE	Balaji Krishnapuram, David Williams, Ya Xue, Alexander J. Hartemink, Lawrence Carin, Mário A. T. Figueiredo: On Semi-Supervised Classification. NIPS 2004
11	EE	Xuejun Liao, Lawrence Carin: Application of the Theory of Optimal Experiments to Adaptive Electromagnetic-Induction Sensing of Buried Targets. IEEE Trans. Pattern Anal. Mach. Intell. 26(8): 961-972 (2004)
10	EE	Balaji Krishnapuram, Alexander J. Hartemink, Lawrence Carin, Mário A. T. Figueiredo: A Bayesian Approach to Joint Feature Selection and Classifier Design. IEEE Trans. Pattern Anal. Mach. Intell. 26(9): 1105-1111 (2004)
9	EE	Balaji Krishnapuram, Lawrence Carin, Alexander J. Hartemink: Joint Classifier and Feature Optimization for Comprehensive Cancer Diagnosis Using Gene Expression Data. Journal of Computational Biology 11(2/3): 227-242 (2004)
2003
8	EE	Yanting Dong, Lawrence Carin: Rate-Distortion Bound for Joint Compression and Classification. DCC 2003: 423
7	EE	Balaji Krishnapuram, Lawrence Carin, Alexander J. Hartemink: Joint classifier and feature optimization for cancer diagnosis using gene expression data. RECOMB 2003: 167-175
6	EE	Yanting Dong, Lawrence Carin: Rate-Distortion Analysis of Discrete-HMM Pose Estimation via Multiaspect Scattering Data. IEEE Trans. Pattern Anal. Mach. Intell. 25(7): 872-883 (2003)
2002
5		Balaji Krishnapuram, Lawrence Carin: Support Vector Machines for Improved Multiaspect Target Recognition Using the Fisher Scores of Hidden Markov Models. JCIS 2002: 354-357
4	EE	Priya Bharadwaj, Lawrence Carin: Infrared-Image Classification Using Hidden Markov Trees. IEEE Trans. Pattern Anal. Mach. Intell. 24(10): 1394-1398 (2002)
2001
3	EE	Eric Jones, Paul Runkle, Nilanjan Dasgupta, Luise Couchman, Lawrence Carin: Genetic Algorithm Wavelet Design for Signal Classification. IEEE Trans. Pattern Anal. Mach. Intell. 23(8): 890-895 (2001)
2	EE	Nilanjan Dasgupta, Paul Runkle, Luise Couchman, Lawrence Carin: Dual hidden Markov model for characterizing wavelet coefficients from multi-aspect scattering data. Signal Processing 81(6): 1303-1316 (2001)
1999
1	EE	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. IEEE Trans. Pattern Anal. Mach. Intell. 21(12): 1371-1378 (1999)

Coauthor Index

1	Priya Bharadwaj	[4]
2	Joseph A. Bucaro	[1]
3	Shaorong Chang	[17] [19]
4	Luise Couchman	[1] [2] [3] [18]
5	Nilanjan Dasgupta	[2] [3] [17]
6	Yanting Dong	[6] [8]
7	David Dunson	[29] [32]
8	Mário A. T. Figueiredo	[10] [12] [13]
9	Alexander J. Hartemink	[7] [9] [10] [12] [13]
10	Shihao Ji	[20] [24] [26] [31] [33]
11	Eric Jones	[3]
12	Narayan Kovvali	[18] [21]
13	Balaji Krishnapuram	[5] [7] [9] [10] [12] [13] [20] [25] [28]
14	Hui Li	[22] [23] [30] [33]
15	Xuejun Liao	[11] [14] [15] [16] [22] [23] [25] [28] [30] [33]
16	Wenbin Lin	[18] [21]
17	Kai Ni	[29]
18	John William Paisley	[27]
19	Ronald Parr	[26] [33]
20	Yuting Qi	[27]
21	Paul Runkle	[1] [2] [3]
22	David Williams	[12] [15] [28]
23	Ya Xue	[12] [15] [16] [25] [28] [32]
24	Timothy J. Yoder	[1]
25	Zhiqin Zhao	[18]

Colors in the list of coauthors