Vladimir Pavlovic

	2009
50		Pavel P. Kuksa, Pai-Hsi Huang, Vladimir Pavlovic: Efficient use of unlabeled data for protein sequence classification: a comparative study. BMC Bioinformatics 10(S-4): (2009)
	2008
49		Minyoung Kim, Vladimir Pavlovic: Dimensionality reduction using covariance operator inverse regression. CVPR 2008
48		Minyoung Kim, Sanjiv Kumar, Vladimir Pavlovic, Henry A. Rowley: Face tracking and recognition with visual constraints in real-world videos. CVPR 2008
47		Ameesh Makadia, Vladimir Pavlovic, Sanjiv Kumar: A New Baseline for Image Annotation. ECCV (3) 2008: 316-329
46		Pavel P. Kuksa, Pai-Hsi Huang, Vladimir Pavlovic: Fast protein homology and fold detection with sparse spatial sample kernels. ICPR 2008: 1-4
45		Pavel P. Kuksa, Pai-Hsi Huang, Vladimir Pavlovic: Scalable Algorithms for String Kernels with Inexact Matching. NIPS 2008: 881-888
44		Pai-Hsi Huang, Vladimir Pavlovic: Protein homology detection with biologically inspired features and interpretable statistical models. IJDMB 2(2): 157-175 (2008)
43		Yushi Jing, Vladimir Pavlovic, James M. Rehg: Boosted Bayesian network classifiers. Machine Learning 73(2): 155-184 (2008)
	2007
42		Minyoung Kim, Vladimir Pavlovic: Discriminative Learning of Dynamical Systems for Motion Tracking. CVPR 2007
41		Minyoung Kim, Vladimir Pavlovic: Conditional State Space Models for Discriminative Motion Estimation. ICCV 2007: 1-8
40		Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas: Embedded Profile Hidden Markov Models for Shape Analysis. ICCV 2007: 1-8
39		Minyoung Kim, Vladimir Pavlovic: A recursive method for discriminative mixture learning. ICML 2007: 409-416
38		Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas: Shape Analysis Using Curvature-Based Descriptors and Profile Hidden Markov Models. ISBI 2007: 1220-1223
37		Pavel P. Kuksa, Vladimir Pavlovic: Fast Kernel Methods for SVM Sequence Classifiers. WABI 2007: 228-239
36		Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas: A Graphical Model Framework for Image Segmentation. Applied Graph Theory in Computer Vision and Pattern Recognition 2007: 43-63
35		Mathias Kölsch, Vladimir Pavlovic, Branislav Kisacanin, Thomas S. Huang: Special issue on vision for human-computer interaction. Computer Vision and Image Understanding 108(1-2): 1-3 (2007)
34		Christian Vogler, Siome Goldenstein, Jorge Stolfi, Vladimir Pavlovic, Dimitris N. Metaxas: Outlier rejection in high-dimensional deformable models. Image Vision Comput. 25(3): 274-284 (2007)
	2006
33		Thomas S. Huang, Nicu Sebe, Michael S. Lew, Vladimir Pavlovic, Mathias Kölsch, Aphrodite Galata, Branislav Kisacanin: Computer Vision in Human-Computer Interaction, ECCV 2006 Workshop on HCI, Graz, Austria, May 13, 2006, Proceedings Springer 2006
32		Kooksang Moon, Vladimir Pavlovic: Impact of Dynamics on Subspace Embedding and Tracking of Sequences. CVPR (1) 2006: 198-205
31		Minyoung Kim, Vladimir Pavlovic: Discriminative Learning of Mixture of Bayesian Network Classifiers for Sequence Classification. CVPR (1) 2006: 268-275
30		Pai-Hsi Huang, Vladimir Pavlovic: Sparse Logistic Classifiers for Interpretable Protien Homology Detection. ICDM Workshops 2006: 99-103
29		Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas: A Profile Hidden Markov Model Framework for Modeling and Analysis of Shape. ICIP 2006: 2121-2124
28		Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas: A tightly coupled region-shape framework for 3D medical image segmentation. ISBI 2006: 426-429
27		Steven Carroll, Vladimir Pavlovic: Protein classification using probabilistic chain graphs and the Gene Ontology structure. Bioinformatics 22(15): 1871-1878 (2006)
	2005
26		Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas: A Hybrid Framework for Image Segmentation Using Probabilistic Integration of Heterogeneous Constraints. CVBIA 2005: 82-92
25		Yushi Jing, Vladimir Pavlovic, James M. Rehg: Efficient discriminative learning of Bayesian network classifier via boosted augmented naive Bayes. ICML 2005: 369-376
	2004
24		Vladimir Pavlovic: Model-Based Motion Clustering Using Boosted Mixture Modeling. CVPR (1) 2004: 811-818
23		Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas: A Graphical Model Framework for Coupling MRFs and Deformable Models. CVPR (2) 2004: 739-746
22		Rui Huang, Dimitris N. Metaxas, Vladimir Pavlovic: A Hybrid Face Recognition Method using Markov Random Fields. ICPR (3) 2004: 157-160
	2003
21		Jonathan Alon, Stan Sclaroff, George Kollios, Vladimir Pavlovic: Discovering Clusters in Motion Time-Series Data. CVPR (1) 2003: 375-381
20		Yang Su, T. M. Murali, Vladimir Pavlovic, Michael Schaffer, Simon Kasif: RankGene: identification of diagnostic genes based on expression data. Bioinformatics 19(12): 1578-1579 (2003)
19		James M. Rehg, Vladimir Pavlovic, Thomas S. Huang, William T. Freeman: Guest Editors' Introduction to the Special Section on Graphical Models in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 25(7): 785-786 (2003)
	2002
18		Ashutosh Garg, Vladimir Pavlovic, Thomas S. Huang: Bayesian Networks as Ensemble of Classifiers. ICPR (2) 2002: 779-784
17		Tanzeem Choudhury, James M. Rehg, Vladimir Pavlovic, Alex Pentland: Boosting and Structure Learning in Dynamic Bayesian Networks for Audio-Visual Speaker Detection. ICPR (3) 2002: 789-
16		Vladimir Pavlovic, Ashutosh Garg, Simon Kasif: A Bayesian framework for combining gene predictions. Bioinformatics 18(1): 19-27 (2002)
	2000
15		Vladimir Pavlovic, James M. Rehg: Impact of Dynamic Model Learning on Classification of Human Motion. CVPR 2000: 1788-1795
14		Vladimir Pavlovic, James M. Rehg, Ashutosh Garg, Thomas S. Huang: Multimodal Speaker Detection Using Error Feedback Dynamic Bayesian Networks. CVPR 2000: 2034-
13		Ashutosh Garg, Vladimir Pavlovic, James M. Rehg: Audio-Visual Speaker Detection Using Dynamic Bayesian Networks. FG 2000: 384-390
12		Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham: A Dynamic Bayesian Network Approach to Tracking Using Learned Switching Dynamic Models. HSCC 2000: 366-380
11		Vladimir Pavlovic, Ashutosh Garg, James M. Rehg: Multimodal Speaker Detection Using Input/Output Dynamic Bayesian Networks. ICMI 2000: 308-316
10		Vladimir Pavlovic, James M. Rehg, John MacCormick: Learning Switching Linear Models of Human Motion. NIPS 2000: 981-987
9		Rajeev Sharma, Michael Zeller, Vladimir Pavlovic, Thomas S. Huang, Zion Lo, Stephen M. Chu, Yunxin Zhao, James C. Phillips, Klaus Schulten: Speech/Gesture Interface to a Visual-Computing Environment. IEEE Computer Graphics and Applications 20(2): 29-37 (2000)
	1999
8		Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huang: Time-Series Classification Using Mixed-State Dynamic Bayesian Networks. CVPR 1999: 2609-
7		Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham, Kevin P. Murphy: A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models. ICCV 1999: 94-101
6		Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huang: Variational Learning in Mixed-State Dynamic Graphical Models. UAI 1999: 522-530
	1998
5		Vladimir Pavlovic: Multimodal Tracking and Classification of Audio-Visual Features. ICIP (1) 1998: 343-347
	1997
4		Michael Zeller, James C. Phillips, A. Dalke, W. Humphrey, Klaus Schulten, Thomas S. Huang, Vladimir Pavlovic, Yunxin Zhao, Zion Lo, Stephen M. Chu, Rajeev Sharma: A Visual Computing Environment for Very Large Scale Biomolecular Modeling. ASAP 1997: 3-
3		Vladimir Pavlovic, G. A. Berry, Thomas S. Huang: Integration of Audio/Visual Information for Use in Human-Computer Intelligent Interaction. ICIP (1) 1997: 121-124
2		Vladimir Pavlovic, Rajeev Sharma, Thomas S. Huang: Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review. IEEE Trans. Pattern Anal. Mach. Intell. 19(7): 677-695 (1997)
	1996
1		Vladimir Pavlovic, Rajeev Sharma, Thomas S. Huang: Invited Speech: "Gestural Interface to a visual computing Environment for Molecular biologists". FG 1996: 30-37

Coauthor Index

1	Jonathan Alon	[21]
2	G. A. Berry	[3]
3	Steven Carroll	[27]
4	Tat-Jen Cham	[7] [12]
5	Tanzeem Choudhury	[17]
6	Stephen M. Chu	[4] [9]
7	A. Dalke	[4]
8	William T. Freeman	[19]
9	Brendan J. Frey	[6] [8]
10	Aphrodite Galata	[33]
11	Ashutosh Garg	[11] [13] [14] [16] [18]
12	Siome Goldenstein (Siome Klein Goldenstein)	[34]
13	Pai-Hsi Huang	[30] [44] [45] [46] [50]
14	Rui Huang	[22] [23] [26] [28] [29] [36] [38] [40]
15	Thomas S. Huang	[1] [2] [3] [4] [6] [8] [9] [14] [18] [19] [33] [35]
16	W. Humphrey	[4]
17	Yushi Jing	[25] [43]
18	Simon Kasif	[16] [20]
19	Minyoung Kim	[31] [39] [41] [42] [48] [49]
20	Branislav Kisacanin	[33] [35]
21	George Kollios	[21]
22	Mathias Kölsch	[33] [35]
23	Pavel P. Kuksa	[37] [45] [46] [50]
24	Sanjiv Kumar	[47] [48]
25	Michael S. Lew	[33]
26	Zion Lo	[4] [9]
27	John MacCormick	[10]
28	Ameesh Makadia	[47]
29	Dimitris N. Metaxas	[22] [23] [26] [28] [29] [34] [36] [38] [40]
30	Kooksang Moon	[32]
31	T. M. Murali	[20]
32	Kevin P. Murphy	[7]
33	Alex Pentland (Sandy Pentland)	[17]
34	James C. Phillips	[4] [9]
35	James M. Rehg	[7] [10] [11] [12] [13] [14] [15] [17] [19] [25] [43]
36	Henry A. Rowley	[48]
37	Michael Schaffer	[20]
38	Klaus Schulten	[4] [9]
39	Stan Sclaroff	[21]
40	Nicu Sebe	[33]
41	Rajeev Sharma	[1] [2] [4] [9]
42	Jorge Stolfi	[34]
43	Yang Su	[20]
44	Christian Vogler	[34]
45	Michael Zeller	[4] [9]
46	Yunxin Zhao	[4] [9]

Colors in the list of coauthors