Lawrence Carin

	2009
49		John William Paisley, Lawrence Carin: Nonparametric factor analysis with beta process priors. ICML 2009: 98
48		Shihao Ji, L. T. Watson, Lawrence Carin: Semisupervised Learning of Hidden Markov Models via a Homotopy Method. IEEE Trans. Pattern Anal. Mach. Intell. 31(2): 275-287 (2009)
47		Qiuhua Liu, Xuejun Liao, Hui Li, Jason R. Stack, Lawrence Carin: Semisupervised Multitask Learning. IEEE Trans. Pattern Anal. Mach. Intell. 31(6): 1074-1086 (2009)
46		Jason R. Stack, Gerald J. Dobeck, Xuejun Liao, Lawrence Carin: Kernel-Matching Pursuits With Arbitrary Loss Functions. IEEE Transactions on Neural Networks 20(3): 395-405 (2009)
45		Shihao Ji, David B. Dunson, Lawrence Carin: Multitask Compressive Sensing. IEEE Transactions on Signal Processing 57(1): 92-106 (2009)
	2008
44		Qi An, Chunping Wang, Ivo Shterev, Eric Wang, Lawrence Carin, David B. Dunson: Hierarchical kernel stick-breaking process for multi-task image analysis. ICML 2008: 17-24
43		Yuting Qi, Dehong Liu, David B. Dunson, Lawrence Carin: Multi-task compressive sensing with Dirichlet process priors. ICML 2008: 768-775
42		Lu Ren, David B. Dunson, Lawrence Carin: The dynamic hierarchical Dirichlet process. ICML 2008: 824-831
41		Lawrence Carin, George Cybenko, Jeff Hughes: Cybersecurity Strategies: The QuERIES Methodology. IEEE Computer 41(8): 20-26 (2008)
40		Iulian Pruteanu-Malinici, Lawrence Carin: Infinite Hidden Markov Models for Unusual-Event Detection in Video. IEEE Transactions on Image Processing 17(5): 811-822 (2008)
39		Shihao Ji, Ya Xue, Lawrence Carin: Bayesian Compressive Sensing. IEEE Transactions on Signal Processing 56(6): 2346-2356 (2008)
38		Kai Ni, John William Paisley, Lawrence Carin, David B. Dunson: Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data. IEEE Transactions on Signal Processing 56(8-2): 3918-3931 (2008)
	2007
37		Shihao Ji, Ronald Parr, Hui Li, Xuejun Liao, Lawrence Carin: Point-Based Policy Iteration. AAAI 2007: 1243-1249
36		Iulian Pruteanu-Malinici, Lawrence Carin: Infinite Hidden Markov Models and ISA Features for Unusual-Event Detection in Video. ICIP (5) 2007: 137-140
35		Ya Xue, David B. Dunson, Lawrence Carin: The matrix stick-breaking process for flexible multi-task learning. ICML 2007: 1063-1070
34		Shihao Ji, Lawrence Carin: Bayesian compressive sensing and projection optimization. ICML 2007: 377-384
33		Xuejun Liao, Hui Li, Lawrence Carin: Quadratically gated mixture of experts for incomplete data classification. ICML 2007: 553-560
32		Kai Ni, Lawrence Carin, David B. Dunson: Multi-task learning for sequential data via iHMMs and the nested Dirichlet process. ICML 2007: 689-696
31		Qiuhua Liu, Xuejun Liao, Lawrence Carin: Semi-Supervised Multitask Learning. NIPS 2007
30		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)
29		Yuting Qi, John William Paisley, Lawrence Carin: Music Analysis Using Hidden Markov Mixture Models. IEEE Transactions on Signal Processing 55(11): 5209-5224 (2007)
28		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)
27		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)
26		Shihao Ji, Lawrence Carin: Cost-sensitive feature acquisition and classification. Pattern Recognition 40(5): 1474-1485 (2007)
	2006
25		Hui Li, Xuejun Liao, Lawrence Carin: Incremental Least Squares Policy Iteration for POMDPs. AAAI 2006
24		Hui Li, Xuejun Liao, Lawrence Carin: Region-based value iteration for partially observable Markov decision processes. ICML 2006: 561-568
23		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)
22		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)
21		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)
20		Nilanjan Dasgupta, Lawrence Carin: Texture analysis with variational hidden Markov trees. IEEE Transactions on Signal Processing 54(6-1): 2353-2356 (2006)
19		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
18		Shaorong Chang, Nilanjan Dasgupta, Lawrence Carin: A Bayesian Approach to Unsupervised Feature Selection and Density Estimation Using Expectation Propagation. CVPR (2) 2005: 1043-1050
17		Xuejun Liao, Ya Xue, Lawrence Carin: Logistic regression with an auxiliary data source. ICML 2005: 505-512
16		David Williams, Xuejun Liao, Ya Xue, Lawrence Carin: Incomplete-data classification using logistic regression. ICML 2005: 972-979
15		Xuejun Liao, Lawrence Carin: Radial Basis Function Network for Multi-task Learning. NIPS 2005
14		Wenbin Lin, Narayan Kovvali, Lawrence Carin: Direct algorithm for computation of derivatives of the Daubechies basis functions. Applied Mathematics and Computation 170(2): 1006-1013 (2005)
13		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		Balaji Krishnapuram, David Williams, Ya Xue, Alexander J. Hartemink, Lawrence Carin, Mário A. T. Figueiredo: On Semi-Supervised Classification. NIPS 2004
11		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		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		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		Yanting Dong, Lawrence Carin: Rate-Distortion Bound for Joint Compression and Classification. DCC 2003: 423
7		Balaji Krishnapuram, Lawrence Carin, Alexander J. Hartemink: Joint classifier and feature optimization for cancer diagnosis using gene expression data. RECOMB 2003: 167-175
6		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		Priya Bharadwaj, Lawrence Carin: Infrared-Image Classification Using Hidden Markov Trees. IEEE Trans. Pattern Anal. Mach. Intell. 24(10): 1394-1398 (2002)
	2001
3		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		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		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	Qi An	[44]
2	Priya Bharadwaj	[4]
3	Joseph A. Bucaro	[1]
4	Shaorong Chang	[18] [21]
5	Luise Couchman	[1] [2] [3] [19]
6	George Cybenko	[41]
7	Nilanjan Dasgupta	[2] [3] [18] [20]
8	Gerald J. Dobeck	[46]
9	Yanting Dong	[6] [8]
10	David B. Dunson	[32] [35] [38] [42] [43] [44] [45]
11	Mário A. T. Figueiredo	[10] [12] [13]
12	Alexander J. Hartemink	[7] [9] [10] [12] [13]
13	Jeff Hughes	[41]
14	Shihao Ji	[22] [26] [28] [34] [37] [39] [45] [48]
15	Eric Jones	[3]
16	Narayan Kovvali	[14] [19] [23]
17	Balaji Krishnapuram	[5] [7] [9] [10] [12] [13] [22] [27] [30]
18	Hui Li	[24] [25] [33] [37] [47]
19	Xuejun Liao	[11] [15] [16] [17] [24] [25] [27] [30] [31] [33] [37] [46] [47]
20	Wenbin Lin	[14] [19] [23]
21	Dehong Liu	[43]
22	Qiuhua Liu	[31] [47]
23	Kai Ni	[32] [38]
24	John William Paisley	[29] [38] [49]
25	Ronald Parr	[28] [37]
26	Iulian Pruteanu-Malinici	[36] [40]
27	Yuting Qi	[29] [43]
28	Lu Ren	[42]
29	Paul Runkle	[1] [2] [3]
30	Ivo Shterev	[44]
31	Jason R. Stack	[46] [47]
32	Chunping Wang	[44]
33	Eric Wang	[44]
34	L. T. Watson	[48]
35	David Williams	[12] [16] [30]
36	Ya Xue	[12] [16] [17] [27] [30] [35] [39]
37	Timothy J. Yoder	[1]
38	Zhiqin Zhao	[19]

Colors in the list of coauthors