## Christian R. Shelton, Associate Professor

## Publications

Sort: | By Topic | By Date |

2016 | |||||||
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Zhen Qin and Christian R. Shelton (2016). "Social Grouping for Multi-target Tracking and Head Pose Estimation in Video." IEEE Transactions on Pattern Analysis and Machine Intelligence.
to appear.
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2015 | |||||||

Philip Toltzis, Gerardo Soto-Campos, Christian R. Shelton, Evelyn M. Kuhn, Ryan Hahn, Robert K. Kanter, and Randall C. Wetzel (2015). "Evidence-Based Pediatric Outcome Predictors to Guide the Allocation of Critical Care Resources in a Mass Casualty Event." Pediatric Critical Care Medicine, 16(7), e207-e216.
[original article had wrong author list, errata].
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Zhen Qin and Christian R. Shelton (2015). "Auxiliary Gibbs Sampling for Inference in Piecewise-Constant Conditional Intensity Models." Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence.
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Mike Izbicki and Christian R. Shelton (2015). "Faster Cover Trees." Proceedings of the Thirty-Second International Conference on Machine Learning.
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2014 | |||||||

Christian R. Shelton and Gianfranco Ciardo (2014). "Tutorial on Continuous-Time Markov Processes." Journal of Artificial Intelligence Research, 51, 725-778.
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E. Busra Celikkaya and Christian R. Shelton (2014). "Deterministic Anytime Inference for Stochastic Continuous-Time Markov Processes." Proceedings of the Thirty-First International Conference on Machine Learning.
[version here corrects typos and error in Figure 2].
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Robinder G. Khemani, E. Busra Celikkaya, Christian R. Shelton, Dave Kale, Patrick A. Ross, Randall C. Wetzel, and Christopher J. L. Newth (2014). "Algorithms to estimate PaCO2 and pH using non-invasive parameters for children with Hypoxemic Respiratory Failure." Respiratory Care, 59(8), 1248-1257.
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2013 | |||||||

Zhen Qin, Christian R. Shelton, and Lunshao Chai (2013). "Social Grouping for Target Handover in Multi-View Video." IEEE International Conference on Multimedia and Expo.
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Juan I. Casse, Christian R. Shelton, and Robert A. Hanneman (2013). "A new criterion function for exploratory blockmodeling for structural and regular equivalence." Social Networks, 35(1), 31-50.
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2012 | |||||||

Pamela Bhattacharya, Iulian Neamtiu, and Christian R. Shelton (2012). "Automated, Highly-Accurate, Bug Assignment Using Machine Learning and Tossing Graphs." Journal of Systems and Software, 85(10), 2275-2292.
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Lunshao Chai, Zhen Qin, Honggang Zhang, Jun Guo, and Christian R. Shelton (2012). "Re-Ranking using Compression-based Distance Measure for Content-based Commercial Product Image Retrieval." IEEE International Conference on Image Processing.
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Zhen Qin and Christian R. Shelton (2012). "Improving Multi-target Tracking via Social Grouping." IEEE Conference on Computer Vision and Pattern Recognition.
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2011 | |||||||

E. Busra Celikkaya, Christian R. Shelton, and William Lam (2011). "Factored Filtering of Continuous-Time Systems." Proceedings of the Twenty-Seventh International Conference on Uncertainty in Artificial Intelligence.
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Teddy N. Yap, Jr., Mingyang Li, Anastasios I. Mourikis, and Christian R. Shelton (2011). "A Particle Filter for Monocular Vision-Aided Odometry." Proceedings of the IEEE International Conference on Robotics and Automation.
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Alec C. Gerry, G. E. Higginbotham, N. Periera, A. Lam, and C. R. Shelton (2011). "Evaluation of Surveillance Methods for Monitoring House Fly Abundance and Activity on Large Commercial Dairy Operations." Journal of Economic Entomology, 104(3), 1087-1092.
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Robert A. Hanneman and Christian R. Shelton (2011). "Applying Modality and Equivalence Concepts to Pattern-Finding in Social Process-Produced Data." Social Network Analysis and Mining, 1, 59-72.
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2010 | |||||||

Antony Lam, Amit K. Roy-Chowdhury, and Christian R. Shelton (2010). "Interactive Event Search Through Transfer Learning." Tenth Asian Conference on Computer Vision.
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Jing Xu and Christian R. Shelton (2010). "Intrusion Detection using Continuous Time Bayesian Networks." Journal of Artificial Intelligence Research, 39, 745-774.
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Yu Fan, Jing Xu, and Christian R. Shelton (2010). "Importance Sampling for Continuous Time Bayesian Networks." Journal of Machine Learning Research, 11(Aug), 2115-2140.
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Kevin Horan, Christian R. Shelton, and Thomas Girke (2010). "Predicting conserved protein motifs with Sub-HMMs." BMC Bioinformatics, 11(205), 1471-2105.
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Christian R. Shelton, Yu Fan, William Lam, Joon Lee, and Jing Xu (2010). "Continuous Time Bayesian Network Reasoning and Learning Engine." Journal of Machine Learning Research, 11(Mar), 1137-1140.
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Xiaoyue Wang, Lexiang Ye, Eamonn Keogh, and Christian Shelton (2010). "Annotating Historical Archives of Images." International Journal of Digital Library Systems, 1(2), 59-80.
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2009 | |||||||

Yu Fan and Christian R. Shelton (2009). "Learning Continuous-Time Social Network Dynamics." Proceedings of the Twenty-Fifth International Conference on Uncertainty in Artificial Intelligence.
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Adriano Macchietto, Victor Zordan, and Christian R. Shelton (2009). "Momentum Control for Balance." ACM Transactions on Graphics / SIGGRAPH, 28(3).
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Teddy N. Yap, Jr. and Christian R. Shelton (2009). "SLAM in Large Indoor Environments with Low-Cost, Noisy, and Sparse Sonars." Proceedings of the IEEE International Conference on Robotics and Automation (pp. 1395-1401).
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2008 | |||||||

Guobiao Mei and Christian R. Shelton (2008). "Unsupervised Image Embedding Using Nonparametric Statistics." International Conference on Pattern Recognition.
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Antony Lam and Christian R. Shelton (2008). "Face Recognition and Alignment using Support Vector Machines." Automatic Face and Gesture Recognition.
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Kin Fai Kan and Christian R. Shelton (2008). "Catenary Support Vector Machines." Machine Learning and Knowledge Discovery in Databases (ECML/PKDD) (LNAI, vol 5211) (pp. 597-610).
© Springer-Verlag.
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Jing Xu and Christian R. Shelton (2008). "Continuous Time Bayesian Networks for Host Level Network Intrusion Detection." Machine Learning and Knowledge Discovery in Databases (ECML/PKDD) (LNAI, vol 5212) (pp. 613-627).
© Springer-Verlag.
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Kevin Horan, Charles Jang, Julie Bailey-Serres, Ron Mittler, Christian Shelton, Jeff F Harper, Jian-Kang Zhu, John JC Cushman, Martin Gollery, and Thomas Girke (2008). "Annotating Genes of Known and Unknown Function by Large-Scale Co-Expression Analysis." Plant Physiology, 147(1), 41-57.
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Xiaoyue Wang, Lexiang Ye, Eamonn Keogh, and Christian Shelton (2008). "Annotating Historical Archives of Images." Joint Conference on Digital Libraries (pp. 341-350).
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Teddy N. Yap, Jr. and Christian R. Shelton (2008). "Simultaneous Learning of Motion and Sensor Model Parameters for Mobile Robots." Proceedings of the IEEE International Conference on Robotics and Automation (pp. 2091-2097).
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Yu Fan and Christian R. Shelton (2008). "Sampling for Approximate Inference in Continuous Time Bayesian Networks." Tenth International Symposium on Artificial Intelligence and Mathematics.
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Kin Fai Kan and Christian R. Shelton (2008). "Solving Structured Continuous-Time Markov Decision Processes." Tenth International Symposium on Artificial Intelligence and Mathematics.
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2007 | |||||||

Titus Winters, Christian R. Shelton, and Tom Payne (2007). "Investigating Generative Factors of Score Matrices." Thirteenth International Conference on Artificial Intelligence in Education (pp. 479-486).
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Christian R. Shelton, Wesley Huie, and Kin Fai Kan (2007). "Chained Boosting." Advances in Neural Information Processing Systems 19 (pp. 1281-1288).
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2006 | |||||||

Guobiao Mei and Christian R. Shelton (2006). "Visualization of Collaborative Data." Proceedings of the Twenty-Second International Conference on Uncertainty in Artificial Intelligence (pp. 341-348).
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Ben Blum, Christian R. Shelton, and Daphne Koller (2006). "A Continuation Method for Nash Equilibria in Structured Games." Journal of Artificial Intelligence Research, 25, 457-502.
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Xiaopeng Xi, Eamonn Keogh, Christian Shelton, Li Wei, and Chotirat Ann Ratanamahatana (2006). "Fast Time Series Classification using Numerosity Reduction." Proceedings of the Twenty-Third International Conference on Machine Learning (pp. 1033-1040).
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Charles Lee Isbell, Jr., Michael Kearns, Satinder Singh, Christian R. Shelton, Peter Stone, and Dave Kormann (2006). "Cobot in LambdaMOO: An Adaptive Social Statistics Agent." Autonomous Agents and Multi-Agent Systems, 13(3), 327-354.
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2005 | |||||||

Uri Nodelman, Christian R. Shelton, and Daphne Koller (2005). "Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks." Proceedings of the Twenty-First International Conference on Uncertainty in Artificial Intelligence (pp. 421-430).
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Uri Nodelman, Daphne Koller, and Christian R. Shelton (2005). "Expectation Propagation for Continuous Time Bayesian Networks." Proceedings of the Twenty-First International Conference on Uncertainty in Artificial Intelligence (pp. 431-440).
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2003 | |||||||

Uri Nodelman, Christian R. Shelton, and Daphne Koller (2003). "Learning Continuous Time Bayesian Networks." Proceedings of the Nineteenth International Conference on Uncertainty in Artificial Intelligence (pp. 451-458).
[version here corrects error in Bayesian score formula].
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Ben Blum, Christian R. Shelton, and Daphne Koller (2003). "A Continuation Method for Nash Equilibria in Structured Games." Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence (pp. 757-764).
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2002 | |||||||

Uri Nodelman, Christian R. Shelton, and Daphne Koller (2002). "Continuous Time Bayesian Networks." Proceedings of the Eighteenth International Conference on Uncertainty in Artificial Intelligence (pp. 378-387).
[version here corrects minor errors].
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Adlar J. Kim, Christian R. Shelton, and Tomaso Poggio (2002). "Modeling Stock Order Flows and Learning Market-Making from Data." Technical report. MIT AI Lab, AI Memo 2002-009.
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Christian R. Shelton (2002). "Reinforcement Learning with Partially Known World Dynamics." Proceedings of the Eighteenth International Conference on Uncertainty in Artificial Intelligence (pp. 461-468).
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Leonid Peshkin and Christian R. Shelton (2002). "Learning from Scarce Experience." Proceedings of the Nineteenth International Conference on Machine Learning (pp. 498-505).
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Charles L. Isbell, Christian R. Shelton, Michael Kearns, Satinder Singh, and Peter Stone (2002). "Cobot: A Social Reinforcement Learning Agent." Advances in Neural Information Processing Systems 2001, vol 2 (pp. 1393-1400).
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2001 | |||||||

Christian Robert Shelton (2001). . Doctoral dissertation, Massachusetts Institute of Technology.
Importance Sampling for Reinforcement Learning with Multiple Objectives | bib/abs | ||||||

Christian Robert Shelton (2001). "Importance Sampling for Reinforcement Learning with Multiple Objectives." Technical report. MIT AI Lab, AI Memo 2001-003.
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Christian R. Shelton (2001). "Policy Improvement for POMDPs Using Normalized Importance Sampling." Proceedings of the Seventeenth International Conference on Uncertainty in Artificial Intelligence (pp. 496-503).
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Christian R. Shelton (2001). "Policy Improvement for POMDPs Using Normalized Importance Sampling." Technical report. MIT AI Lab, AI Memo 2001-002.
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Christian R. Shelton (2001). "Importance Sampling Estimate for Policies with Memory."
presented at ICML 2001 workshop.
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Nicholas T. Chan and Christian R. Shelton (2001). "An Electronic Market-Maker." Seventh International Conference of the Society for Computational Economics.
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Nicholas T. Chan and Christian R. Shelton (2001). "An Electronic Market-Maker." Technical report. MIT AI Lab, AI Memo 2001-005.
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Charles L. Isbell, Christian R. Shelton, Michael Kearns, Satinder Singh, and Peter Stone (2001). "A Social Reinforcement Learning Agent." Fifth International Conference on Autonomous Agents (pp. 377-384).
best paper award.
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Christian R. Shelton (2001). "Balancing Multiple Sources of Reward in Reinforcement Learning." Advances in Neural Information Processing Systems 2000 (pp. 1082-1088).
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2000 | |||||||

Christian R. Shelton (2000). "Morphable Surface Models." International Journal of Computer Vision, 38(1), 75-91.
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Tomaso Poggio and Christian R. Shelton (2000). "Learning in brains and machines." Spatial Vision, 13(2,3), 287-296.
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1999 | |||||||

Tomaso Poggio and Christian R. Shelton (1999). "Machine Learning, Machine Vision, and the Brain." AI Magazine, 20(3), 37-55.
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1998 | |||||||

Christian Robert Shelton (1998). . Masters thesis, Massachusetts Institute of Technology.
Three-Dimensional Correspondence | bib/abs | ||||||

Christian Robert Shelton (1998). "Three-Dimensional Correspondence." Technical report. MIT AI Lab, 1650.
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Dan Halperin and Christian R. Shelton (1998). "A Perturbation Scheme for Spherical Arrangements with Application to Molecular Modeling." Computational Geometry: Theory and Applications, 10(4), 273-288.
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Dan Halperin and Christian R. Shelton (1998). "A Perturbation Scheme for Spherical Arrangements with Application to Molecular Modeling." Technical report. MIT AI Lab, AI Memo 1618.
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P. W. Finn, L. E. Kavraki, J.-C. Latombe, R. Motwani, C. Shelton, S. Venkatasubramanian, and A. Yao (1998). "RAPID: Randomized Pharmacophore Identification for Drug Design." Computational Geometry: Theory and Applications, 10(4).
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1997 | |||||||

Dan Halperin and Christian R. Shelton (1997). "A Perturbation Scheme for Spherical Arrangements with Application to Molecular Modeling." Proceedings of the Thirteenth Symposium on Computational Geometry (pp. 183-192).
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P. W. Finn, L. E. Kavraki, J.-C. Latombe, R. Motwani, C. Shelton, S. Venkatasubramanian, and A. Yao (1997). "RAPID: Randomized Pharmacophore Identification for Drug Design." Proceedings of the Thirteenth Symposium on Computational Geometry (pp. 324-333).
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1996 | |||||||

Paul W. Finn, Dan Halperin, Lydia E. Kavraki, Jean-Claude Latombe, Rajeev Motwani, Christian Shelton, and Suresh Venkatasubramanian (1996). "Geometric Manipulation of Flexible Ligands." In M. C. Lin and D. Manocha, editors, Applied Computational Geometry: Towards Geometric Engineering (pp. 67-78).
papers from the ACM Workshop on Applied Computational Geometry 1996.
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