Lawrence Carin

2008
40	EE	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
39	EE	Yuting Qi, Dehong Liu, David B. Dunson, Lawrence Carin: Multi-task compressive sensing with Dirichlet process priors. ICML 2008: 768-775
38	EE	Lu Ren, David B. Dunson, Lawrence Carin: The dynamic hierarchical Dirichlet process. ICML 2008: 824-831
37	EE	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)
2007
36		Shihao Ji, Ronald Parr, Hui Li, Xuejun Liao, Lawrence Carin: Point-Based Policy Iteration. AAAI 2007: 1243-1249
35	EE	Iulian Pruteanu-Malinici, Lawrence Carin: Infinite Hidden Markov Models and ISA Features for Unusual-Event Detection in Video. ICIP (5) 2007: 137-140
34	EE	Ya Xue, David B. Dunson, Lawrence Carin: The matrix stick-breaking process for flexible multi-task learning. ICML 2007: 1063-1070
33	EE	Shihao Ji, Lawrence Carin: Bayesian compressive sensing and projection optimization. ICML 2007: 377-384
32	EE	Xuejun Liao, Hui Li, Lawrence Carin: Quadratically gated mixture of experts for incomplete data classification. ICML 2007: 553-560
31	EE	Kai Ni, Lawrence Carin, David B. Dunson: Multi-task learning for sequential data via iHMMs and the nested Dirichlet process. ICML 2007: 689-696
30	EE	Qiuhua Liu, Xuejun Liao, Lawrence Carin: Semi-Supervised Multitask Learning. NIPS 2007
29	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)
28	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)
27	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)
26	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)
25	EE	Shihao Ji, Lawrence Carin: Cost-sensitive feature acquisition and classification. Pattern Recognition 40(5): 1474-1485 (2007)
2006
24		Hui Li, Xuejun Liao, Lawrence Carin: Incremental Least Squares Policy Iteration for POMDPs. AAAI 2006
23	EE	Hui Li, Xuejun Liao, Lawrence Carin: Region-based value iteration for partially observable Markov decision processes. ICML 2006: 561-568
22	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)
21	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)
20	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)
19	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
18	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
17	EE	Xuejun Liao, Ya Xue, Lawrence Carin: Logistic regression with an auxiliary data source. ICML 2005: 505-512
16	EE	David Williams, Xuejun Liao, Ya Xue, Lawrence Carin: Incomplete-data classification using logistic regression. ICML 2005: 972-979
15	EE	Xuejun Liao, Lawrence Carin: Radial Basis Function Network for Multi-task Learning. NIPS 2005
14	EE	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	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	Qi An	[40]
2	Priya Bharadwaj	[4]
3	Joseph A. Bucaro	[1]
4	Shaorong Chang	[18] [20]
5	Luise Couchman	[1] [2] [3] [19]
6	Nilanjan Dasgupta	[2] [3] [18]
7	Yanting Dong	[6] [8]
8	David B. Dunson	[31] [34] [38] [39] [40]
9	Mário A. T. Figueiredo	[10] [12] [13]
10	Alexander J. Hartemink	[7] [9] [10] [12] [13]
11	Shihao Ji	[21] [25] [27] [33] [36]
12	Eric Jones	[3]
13	Narayan Kovvali	[14] [19] [22]
14	Balaji Krishnapuram	[5] [7] [9] [10] [12] [13] [21] [26] [29]
15	Hui Li	[23] [24] [32] [36]
16	Xuejun Liao	[11] [15] [16] [17] [23] [24] [26] [29] [30] [32] [36]
17	Wenbin Lin	[14] [19] [22]
18	Dehong Liu	[39]
19	Qiuhua Liu	[30]
20	Kai Ni	[31]
21	John William Paisley	[28]
22	Ronald Parr	[27] [36]
23	Iulian Pruteanu-Malinici	[35] [37]
24	Yuting Qi	[28] [39]
25	Lu Ren	[38]
26	Paul Runkle	[1] [2] [3]
27	Ivo Shterev	[40]
28	Chunping Wang	[40]
29	Eric Wang	[40]
30	David Williams	[12] [16] [29]
31	Ya Xue	[12] [16] [17] [26] [29] [34]
32	Timothy J. Yoder	[1]
33	Zhiqin Zhao	[19]

Colors in the list of coauthors