DRIV: Duke Robotics, Intelligence, and Vision

Publications are organized by year. All papers from a given year are listed alphabetically by author.

Years: 2009 2008 2007 2006 2005 2004 2003 2002 2001

2009

• Mingyu Guo, Vincent Conitzer, and Daniel Reeves. Competitive Repeated Allocation Without Payments. In Proceedings of the Fifth Workshop on Internet and Network Economics (WINE-2009), Rome, Italy.
• Peng Shi, Vincent Conitzer, and Mingyu Guo. Prediction Mechanisms That Do Not Incentivize Undesirable Actions. In Proceedings of the Fifth Workshop on Internet and Network Economics (WINE-2009), Rome, Italy.
• Mingyu Guo and Vincent Conitzer. Worst-Case Optimal Redistribution of VCG Payments in Multi-Unit Auctions. In Games and Economic Behavior, Volume 67, Issue 1, Page 69-98, September 2009.
• Mingyu Guo and David Pennock. Combinatorial Prediction Markets for Event Hierarchies. In Proceedings of the Eighth International Conference on Autonomous Agents and Multiagent Systems (AAMAS-09), Budapest, Hungary.
• Vincent Conitzer, Jerome Lang, and Lirong Xia. How Hard Is It to Control Sequential Elections Via the Agenda? In Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI-09), pp 103-108, Pasadena, CA, USA, 2009.
• Vincent Conitzer, Matthew Rognlie, and Lirong Xia. Preference Functions That Score Rankings and Maximum Likelihood Estimation. In Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI-09), pp 109-115, Pasadena, CA, USA, 2009.
• Rolando Estrada and Carlo Tomasi. Manuscript bleed-through removal via hysteresis thresholding. IEEE International Conference on Document Analysis and Recognition (ICDAR 2009), Barcelona, Spain, July 2009.
• Steve Gu and Carlo Tomasi. Phase diffusion for the sychronization of heterogeneous sensor streams. IEEE International Conference on Acoustics, Speech, and Signal Processing. To appear, 2009.
• Jerome Lang and Lirong Xia. Sequential composition of voting rules in multi-issue domains. Mathematical Social Sciences 57(3): 304-324, 2009. 
• Zheng Li, Joseph O'Doherty, Timothy Hanson, Mikhail Lebedev, Craig Henriquez, and Miguel Nicolelis. Unscented Kalman Filter for Brain Machine Interfaces. PLoS ONE, 4(7): e6243.
• Susanna Ricco and Mei Chen. Classification of Scan Location in Retinal Optical Coherence Tomography. International Symposium on Biomedical Imaging (ISBI 2009), Boston, MA, USA.
• Susanna Ricco, Mei Chen, Hiroshi Ishikawa, Gadi Wollstein, and Joel Schuman. Correcting Motion Artifacts in Retinal Spectral Domain Optical Coherence Tomography via Image Registration. To appear, 12th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2009).
• Susanna Ricco and Carlo Tomasi. Fingerspelling Recognition through Classification of Letter-to-Letter Transitions. To appear, 9th Asian Conference on Computer Vision (ACCV 2009).
• Gavin Taylor and Ron Parr. Kernelized Value Function Approximation for Reinforcement Learning. International Conference on Machine Learning (ICML-2009).
• Lirong Xia and Vincent Conitzer. Finite Local Consistency Characterizes Generalized Scoring Rules. In Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI-09), pp 336-341, Pasadena, CA, USA, 2009.
• Lirong Xia and Jerome Lang. A Dichotomy Theorem on the Existence of Efficient or Neutral Sequential Voting Correspondences. In Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI-09), pp 342-347, Pasadena, CA, USA, 2009.
• Lirong Xia, Michael Zuckerman, Ariel D. Procaccia, Vincent Conitzer, and Jeffrey S. Rosenschein. Complexity of Unweighted Coalitional Manipulation Under Some Common Voting Rules In Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI-09), pp 348-353, Pasadena, CA, USA, 2009.
• Jing Xiao, Lan Liu, Lirong Xia, and Tao Jiang. Efficient Algorithms for Reconstructing 0-Recombinant Haplotypes on a Pedigree. SIAM Journal on Computing 38(6): 2198-2219, 2009.

2008

• Mehmet Serkan Apaydin, Vincent Conitzer, and Bruce Randall Donald. Structure-based protein NMR assignments using native structural ensembles. Journal of Biomolecular NMR, 2008; 40(4):263-276. PMID:18365752.
• Krzysztof Apt, Vincent Conitzer, Mingyu Guo, and Evangelos Markakis. Welfare Undominated Groves Mechanisms. In the Fourth Workshop on Internet and Network Economics (WINE-08), Shanghai, China, 2008.
• Vincent Conitzer. Comparing Multiagent Systems Research in Combinatorial Auctions and Voting. The 10th International Symposium on Artificial Intelligence and Mathematics (ISAIM-08), Fort Laurderdale, FL, USA.
• Vincent Conitzer. Auction Protocols. Chapter to appear in the CRC Algorithms and Theory of Computation Handbook.
• Vincent Conitzer. Using a Memory Test to Limit a User to One Account. The 10th International Workshop on Agent Mediated Electronic Commerce (AMEC-08), Estoril, Portugal.
• Vincent Conitzer. Metareasoning as a Formal Computational Problem. The AAAI-08 Workshop on Metareasoning: Thinking about Thinking, Chicago, IL, USA, 2008.
• Vincent Conitzer. Anonymity-Proof Voting Rules. In the Fourth Workshop on Internet and Network Economics (WINE-08), Shanghai, China, 2008.
• Vincent Conitzer. Eliciting Single-Peaked Preferences Using Comparison Queries. To appear in the Journal of Artificial Intelligence Research (JAIR).
• Vincent Conitzer, Matthew Rognlie, and Lirong Xia. Preference Functions That Score Rankings and Maximum Likelihood Estimation. To appear in the Second International Workshop on Computational Social Choice (COMSOC-08) Liverpool, England.
• Vincent Conitzer and Tuomas Sandholm. New Complexity Results about Nash Equilibria. Games and Economic Behavior, Volume 63, Issue 2, 2008, pp. 621-641.
• Mingyu Guo and Vincent Conitzer. Optimal-in-Expectation Redistribution Mechanisms. In Proceedings of the 7th International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-08), pp. 1047-1054, Estoril, Portugal, 2008.
• Mingyu Guo and Vincent Conitzer. Undominated VCG Redistribution Mechanisms. In Proceedings of the 7th International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-08), pp. 1039-1046, Estoril, Portugal, 2008.
• Mingyu Guo and Vincent Conitzer. Better Redistribution with Inefficient Allocation in Multi-Unit Auctions with Unit Demand. In Proceedings of the 9th ACM Conference on Electronic Commerce (EC-08), pp. 210-219, Chicago, IL, USA, 2008.
• Mingyu Guo and Vincent Conitzer. Worst-Case Optimal Redistribution of VCG Payments in Multi-Unit Auctions. To appear in Games and Economic Behavior, 2008.
• Erik Halvorson and Ronald Parr. Planning Aims for a Network of Horizontal Overhead Sensors. Workshop on the Algorithmic Foundations of Robotics 2008 (WAFR-2008).
• Erik Halvorson and Ronald Parr. Planning Aims for a Network of Horizontal and Overhead Sensors. International Symposium on Artificial Intelligence and Mathematics, 2008.
• Tingting Jiang and Carlo Tomasi. Robust shape normalization based on implicit representations. International Conference on Pattern Recognition, 2008.
• Joshua Letchford, Vincent Conitzer, and Kamal Jain. An "Ethical" Game-Theoretic Solution Concept for Two-Player Perfect-Information Games. In the Fourth Workshop on Internet and Network Economics (WINE-08), Shanghai, China, 2008.
• Naoki Ohta, Vincent Conitzer, Yasufumi Satoh, Atsushi Iwasaki, and Makoto Yokoo. Anonymity-Proof Shapley Value: Extending Shapley Value for Coalitional Games in Open Environments. In Proceedings of the 7th International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-08), pp. 927-934, Estoril, Portugal, 2008.
• Ronald Parr, Gavin Taylor, Christopher Painter-Wakefield, and Michael L. Littman. An Analysis of Linear Models, Linear Value-Function Approximation, and Feature Selection for Reinforcement Learning. International Conference on Machine Learning (ICML-2008).
• Liad Wagman and Vincent Conitzer. Strategic Betting for Competitive Agents. In Proceedings of the 7th International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-08), pp. 847-854, Estoril, Portugal, 2008.
• Liad Wagman and Vincent Conitzer. Optimal False-Name-Proof Voting Rules with Costly Voting. In Proceedings of the 23rd National Conference on Artificial Intelligence (AAAI-08), pp. 190-195, Chicago, IL, USA, 2008.
• Lirong Xia and Vincent Conitzer. Determining Possible and Necessary Winners under Common Voting Rules Given Partial Orders. In Proceedings of the 23rd National Conference on Artificial Intelligence (AAAI-08), pp. 196-201, Chicago, IL, USA, 2008.
• Lirong Xia and Vincent Conitzer. A Sufficient Condition for Voting Rules to Be Frequently Manipulable. In Proceedings of the 9th ACM Conference on Electronic Commerce (EC-08), pp. 99-108, Chicago, IL, USA, 2008.
• Lirong Xia and Vincent Conitzer. Generalized Scoring Rules and the Frequency of Coalitional Manipulability. In Proceedings of the 9th ACM Conference on Electronic Commerce (EC-08), pp. 109-118, Chicago, IL, USA, 2008.
• Lirong Xia, Vincent Conitzer, and Jerome Lang. Voting on Multiattribute Domains wiht Cyclic Preferential Dependencies. In Proceedings of the 23rd National Conference on Artificial Intelligence (AAAI-08), pp. 202-207, Chicago, IL, USA, 2008.
• Lirong Xia, Vincent Conitzer, Ariel Procaccia, and Jeffery Rosenschein. Complexity of unweighted coalitional manipulation under some common voting rules. To appear in the Second International Workshop on Computational Social Choice (COMSOC-08), Liverpool, England.

2007

• Stanley Birchfield, Braga Natarajan, and Carlo Tomasi. Correspondence as Energy-based Segmentation. Image and Vision Computing. 25(8), pages 1329--1340, August 2007.
• Vincent Conitzer. Limited Verification of Identities to Induce False-Name-Proofness. In Proceedings of the 11th Conference on Theoretical Aspects of Rationality and Knowledge (TARK-07), pp. 102-111, Brussels, Belgium.
• Vincent Conitzer, Tuomas Sandholm, and Jrme Lang. When Are Elections with Few Candidates Hard to Manipulate? Journal of the ACM, Volume 54, Issue 3, June 2007, Article 14, pp. 1-33.
• Vincent Conitzer. Eliciting Single-Peaked Preferences Using Comparison Queries. In Proceedings of the 6th International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-07), pp. 408-415, Honolulu, HI, USA, 2007.
• Vincent Conitzer and Tuomas Sandholm. Incremental Mechanism Design. In Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI-07), pp. 1251-1256, Hyderabad, India, 2007.
• Vincent Conitzer and Tuomas Sandholm. AWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response Against Stationary Opponents. Machine Learning, Special Issue on Learning and Computational Game Theory, Volume 67, Numbers 1-2, May 2007, pp. 23-43.
• Mingyu Guo and Vincent Conitzer. Worst-Case Optimal Redistribution of VCG Payments. In Proceedings of the 8th ACM Conference on Electronic Commerce (EC-07), pp. 30-39, San Diego, CA, USA.
• Shihao Ji, Ronald Parr, Hui Li, Xuejun Liao, and Lawrence Carin, Point-Based Policy Iteration, Proceedings of the Twenty-Second National Conference on Artificial Intelligence (AAAI 2007).
• Shihao Ji, Ronald Parr, and Lawrence Carin. Non-Myopic Multi-Aspect Sensing with Partially Observable Markov Decision Processes. IEEE Transactions on Signal Processing, Volume 55, Issue: 6, Part 1, June 2007, pp. 2720-2730.
• Tingting Jiang and Carlo Tomasi. Finite-element level-set curve particles. ICCV Workshop on Non-rigid Registration and Tracking through Learning, to appear, October 2007.
• Tingting Jiang, Carlo Tomasi, and Scott Schmidler. How to dispatch observers to track a moving boundary. First ACM/IEEE International Conference on Distributed Smart Cameras. Pages 305--312, September 2007.
• Ronald Parr, Christopher Painter-Wakefield, Lihong Li, and Michael Littman, Analyzing Feature Generation for Value-Function Approximation, International Conference on Machine Learning (ICML-2007).
• Jeff Phillips, Ran Liu, and Carlo Tomasi. Outlier Robust ICP for Minimizing Fractional RMSD. 6th International Conference on 3-D Digital Imaging and Modeling. Pages 427--434, August 2007.
• Tuomas Sandholm, Vincent Conitzer, and Craig Boutilier. Automated Design of Multistage Mechanisms. In Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI-07), pp. 1500-1506, Hyderbad, India, 2007.
• Carlo Tomasi. Global Stereo in Polynomial Time. In L. Harris and M. Jenkin, editors. Computational Vision in Neural and Machine Systems. Cambridge University Press. Pages 203--219. 2007.

2006

• Tingting Jiang and Carlo Tomasi. Level-Set Curve Particles. European Conference on Computer Vision, ECCV. Pages 633--644, May 2006.
• Monika Schaeffer and Ronald Parr, Efficient Selection of Disambiguating Actions for Stereo Vision, Uncertainty in Artificial Intelligence (UAI-2006).

2005

• Austin Eliazar and Ronald Parr, Hierarchical Linear/Constant Time SLAM using Particle Filters for Dense Maps , Advances in Neural Information Processing Systems (NIPS-19) 2005.
• Mark Fashing and Carlo Tomasi. Mean Shift is a Bound Optimization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(3), pages 471--474, March 2005.
• Cordelia Schmid, Stefano Soatto and Carlo Tomasi, editors. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE Computer Society Press, Los Alamitos, CA, June 2005.

2004

• Austin I. Eliazar and Ronald Parr, Learning Probabilistic Motion Models for Mobile Robots, Proceedings of the Twenty First International Conference on Machine Learning (ICML-2004).
• Salih Gokturk and Carlo Tomasi. 3D Head Tracking Based on Recognition and Interpolation Using a Time-Of-Flight Depth Sensor. Proceedings of the IEEE Computer Society Conference Computer Vision and Pattern Recognition, CVPR, San Diego, CA, pages 211--217, June 2004.
• Michael Lin and Carlo Tomasi. Surfaces with occlusions from layered stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(8), pages 710--717, August 2004.
• Daniel Russakoff, Carlo Tomasi, Torsten Rohlfing and Calvin Maurer. Image Similarity Using Mutual Information of Regions. The 8th European Conference on Computer Vision - ECCV 2004, Prague, Czech Republic, pages 596--607, May 2004.
• Carlo Tomasi. Past Performance and Future Results. Nature, 408, page 378, March 2004.

2003

• Austin Eliazar and Ronald Parr, DP-SLAM: Fast, Robust Simulataneous Localization and Mapping without Predetermined Landmarks, Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence (IJCAI 03).
• Carlos Guestrin, Daphne Koller, Ronald Parr and Shobha Venkataraman, Efficient Solution Algorithms for Factored MDPs, Journal of Artificial Intelligence Research (JAIR), Vol. 19, 2003, pp. 399-468.
• Michail Lagoudakis and Ronald Parr, Reinforcement Learning as Classification: Leveraging Modern Classifiers, Proceedings of the Twentieth International Conference on Machine Learning (ICML-2003).
• Michail Lagoudakis and Ronald Parr, Least-Squares Policy Iteration, Accepted to the Journal of Machine Learning Research (JMLR), Vol. 4, 2003, pp. 1107-1149.
• Michael Lin and Carlo Tomasi. Surfaces with occlusions from layered stereo. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pages 710--717, Madison, WI, June 2003.
• Helena Roeber, John Bacus and Carlo Tomasi. Typing in thin air: the Canesta projection keyboard --- A new method of interaction with electronic devices. Proceedings of the Conference on Human Factors in Computing Systems (CHI 2003), pages 712--713, Fort Lauderdale, FL, April 2003.
• Carlo Tomasi, Slav Petrov and Arvind Sastry. 3D tracking = classification + interpolation. International Conference on Computer Vision (ICCV), pages 1441--1448, Nice, France, October 2003.
• Carlo Tomasi, Abbas Rafii and Ilhami Torunoglu. Full-size projection keyboard for handheld devices. Communications of the ACM, 46(7), pages 70--75, July 2003.

2002

• Burak Acar, Christopher Beaulieu, Salih Gokturk, Carlo Tomasi, David Paik, R. Brooke Jeffrey, Jr., Judy Yee, and Sandy Napel. Edge Displacement Field Based Classification for Improved Detection of Polyps in CT Colonography. IEEE Transactions on Medical Imaging, 21(12), pages 1461--1467, December 2002.
• Salih Gokturk, Carlo Tomasi, Bernd Girod, and Jean-Yves Bouguet. Model-Based Face Tracking for View-Independent Facial Expression Recognition. Fifth IEEE International Conference on Automatic Face and Gesture Recognition, pages 287--293, May 2002.
• Carlos Guestrin, Michail Lagoudakis,and Ronald Parr, Coordinated Reinforcement Learning, Proceedings of the Nineteenth International Conference on Machine Learning (ICML-2002).
• Michail Lagoudakis and Ronald Parr, Learning in Zero-Sum Team Markov Games using Factored Value Functions, To appear in Advances in Neural Information Processing Systems (NIPS-15) 2002.
• Michail Lagoudakis and Ronald Parr, Value Function Approximation in Zero-Sum Markov Games, Proceedings of the 18th Conference on Uncertainty in Artificial Intelligence (UAI 2002).
• Lipyeow Lim, Min Wang, Sriram Padmanabhan, Jeffrey Scott Vitter, Ronald Parr, XPathLearner: An On-Line Self-Tuning Markov Histogram for XML Path Selectivity Estimation, VLDB 2002.
• Tong Zhang and Carlo Tomasi. On the Consistency of Instantaneous Rigid Motion Estimation. International Journal on Computer Vision, 46(1), January 2002, pages 51--79.

2001

• Burak Acar, Sandy Napel, David Paik, Salih Gokturk, Carlo Tomasi, and Christopher Beaulieu. Using optical flow fields for polyp detection in virutal colonoscopy. Proceedings of the Medical Image Computing and Computer-Assisted Intervention Conference (MICCAI), Utrecht, The Netherlands, October 2001, pages 637--644.
• Burak Acar, Christopher Beaulieu, David Paik, Salih Gokturk, Carlo Tomasi, Judy Yee, and Sandy Napel. Assessment of an optical flow field-based polyp detector for CT colonography. Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Istanbul, Turkey , October 2001.
• Salih Gokturk, Carlo Tomasi, Burak Acar, Christopher Beaulieu, David Paik, R. Brooke Jeffrey, Judy Yee, and Sandy Napel. A statistical 3D pattern processing method for computer aided detection of polyps in CT colonography. IEEE Transactions on Medical Imaging , 20(12), December 2001, pages 1251--1260.
• Salih Gokturk and Carlo Tomasi. A New 3-D Pattern Recognition Technique With Application to Computer Aided Colonoscopy. In Proceedings of the IEEE Computer Science Conference on Computer Vision and Pattern Recognition (CVPR), pages (1)93--100, Kauai, Hawaii, 2001.
• Salih Gokturk, Carlo Tomasi, Burak Acar, David Paik, Christopher Beaulieu, and Sandy Napel. A Learning Method for Automated Polyp Detection. Proceedings of the Medical Image Computing and Computer-Assisted Intervention Conference (MICCAI), Utrecht, The Netherlands, October 2001, pages 85--93.
• Carlos Guestrin, Daphne Koller and Ronald Parr, Multiagent Planning with Factored MDPs, Advances in Neural Information Processing Systems (NIPS-14) 2001.
• Joachim Hornegger and Carlo Tomasi. Image Warping for 3-D Reconstruction: Robustness and Efficiency. Bildverarbeitung fuer die Medizin, pages 109--113, March 2001.
• Michail Lagoudakis, Ronald Parr, Model-Free Least-Squares Policy Iteration, To appear in Advances in Neural Information Processing Systems (NIPS-14) 2001. Longer tech report version available.
• Yossi Rubner and Carlo Tomasi. Perceptual Metrics for Image Database Navigation. Kluwer Academic Publishers, Boston, MA, 2001.
• Yossi Rubner, Jan Puzicha, Carlo Tomasi, and Joachim Buhmann. Empirical Evaluation of Dissimilarity Measures for Color and Texture. Computer Vision and Image Understanding Journal, 84(1):25-43, October 2001.
• Mark Ruzon and Carlo Tomasi. Edge, Junction, and Corner Detection Using Color Distributions. In IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(11), November 2001, pages 1281--1295.