- Multi-Armed Recommendation Bandits for Selecting State Machine
Policies for Robotic Systems
Pyry Matikainen, Padraig Michael Furlong, Rahul Sukthankar, and Martial Hebert
Proc. ICRA, May, 2013.
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- Classi er Ensemble Recommendation
Pyry Matikainen, Rahul Sukthankar, and Martial Hebert
Workshop on Web-scale Vision and Social Media, ECCV 2012, August, 2012.
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- Model Recommendation for Action Recognition
Pyry Matikainen, Rahul Sukthankar, and Martial Hebert
Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR), June, 2012.
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- Unsupervised Learning for Graph Matching
Marius Leordeanu, Rahul Sukthankar, and Martial Hebert
International Journal of Computer Vision, Vol. 96, No. 1, April, 2012,
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- Classification of Plant Structures from Uncalibrated Image Sequences
Debadeepta Dey, Lily Mummert, and Rahul Sukthankar
Workshop on Applications of Computer Vision, January, 2012.
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- Feature Seeding for Action Recognition
Pyry Matikainen, Rahul Sukthankar, and Martial Hebert
International Conference on Computer Vision 2011, November, 2011.
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- Prop-Free Pointing Detection in Dynamic Cluttered Environments
Pyry Matikainen, Padmanabhan Pillai, Lily Mummert, Rahul Sukthankar, and Martial Hebert
Proceedings of International Conference on Automatic Face and Gesture Recognition, 2011, March, 2011.
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- Adapting to Intra-Class Variations using Incremental Retraining with Exploratory Sampling
Young-Woo Seo, Christopher Urmson, David Wettergreen, and Rahul Sukthankar
tech. report CMU-RI-TR-10-36, Robotics Institute, Carnegie Mellon University, October, 2010
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- Representing Pairwise Spatial and Temporal Relations for Action Recognition
Pyry Matikainen, Martial Hebert, and Rahul Sukthankar
European Conference on Computer Vision 2010 (ECCV 2010), September, 2010.
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- Volumetric Features for Video Event Detection
Yan Ke, Rahul Sukthankar, and Martial Hebert
International Journal of Computer Vision, Vol. 88, No. 3, July, 2010,
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- Decentralized estimation and control of graph connectivity for mobile sensor networks
P. Yang, R. Freeman, Geoffrey Gordon, Kevin Lynch, Siddhartha Srinivasa, and Rahul Sukthankar
Automatica, Vol. 46, No. 2, February, 2010, pp. 390 - 396.
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- An Integer Projected Fixed Point Method for Graph Matching and MAP Inference
Marius Leordeanu, Martial Hebert, and Rahul Sukthankar
Proceedings Neural Information Processing Systems, December, 2009.
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- Trajectons: Action Recognition Through the Motion Analysis of
Tracked Features
Pyry Matikainen, Martial Hebert, and Rahul Sukthankar
Workshop on Video-Oriented Object and Event Classification, ICCV 2009, September, 2009.
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- Fast Motion Consistency Through Matrix Quantization
Pyry Matikainen, Martial Hebert, Rahul Sukthankar, and Yan Ke
Proceedings of the British Machine Vision Conference, September, 2008, pp. 1055-1064.
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- Decentralized Estimation and Control of Graph Connectivity in Mobile Sensor Networks
Peng Yang, Randy A. Freeman, Geoffrey Gordon, Kevin Lynch, Siddhartha Srinivasa, and Rahul Sukthankar
American Control Conference, June, 2008.
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- Event Detection in Crowded Videos
Yan Ke, Rahul Sukthankar, and Martial Hebert
IEEE International Conference on Computer Vision, October, 2007.
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- Beyond Local Appearance: Category Recognition from Pairwise Interactions of Simple Features
Marius Leordeanu, Martial Hebert, and Rahul Sukthankar
Proceedings of CVPR, June, 2007.
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- Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited Training Data
Liu Yang, Rong Jin, Caroline Pantofaru, and Rahul Sukthankar
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, June, 2007.
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- Spatio-temporal Shape and Flow Correlation for Action Recognition
Yan Ke, Rahul Sukthankar, and Martial Hebert
Visual Surveillance Workshop, June, 2007.
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- Distributed Inference in Dynamical Systems
Stanislav Funiak, Carlos Ernesto Guestrin, Mark Paskin, and Rahul Sukthankar
Advances in Neural Information Processing Systems 19, December, 2006.
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- Semantic Learning for Audio Applications: A Computer Vision Approach
Rahul Sukthankar, Y. Ke, and Derek Hoiem
2006 Conference on Computer Vision and Pattern Recognition Workshop, June, 2006, pp. 112.
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- Distributed Localization of Networked Cameras
Stanislav Funiak, Carlos Ernesto Guestrin, Rahul Sukthankar, and Mark Paskin
Fifth International Conference on Information Processing in Sensor Networks (IPSN'06), April, 2006, pp. 34 - 42.
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- Efficient Visual Event Detection using Volumetric Features
Yan Ke, Rahul Sukthankar, and Martial Hebert
International Conference on Computer Vision, October, 2005, pp. 166 - 173.
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- Computer Vision for Music Identification
Yan Ke, Derek Hoiem, and Rahul Sukthankar
IEEE Conference on Computer Vision and Pattern Recognition, June, 2005, pp. 597 - 604.
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pdf (311KB) | Copyrighted
- Computer Vision for Music Identification
Yan Ke, Derek Hoiem, and Rahul Sukthankar
Computer Vision and Pattern Recognition, June, 2005.
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- SOLAR: Sound Object Localization and Retrieval in Complex Audio Environments
Derek Hoiem, Yan Ke, and Rahul Sukthankar
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March, 2005, pp. 429 - 432.
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- Robust Probabilistic Filtering in Distributed Systems
Stanislav Funiak, Carlos Ernesto Guestrin, Mark Paskin, and Rahul Sukthankar
tech. report CMU-CALD-05-111, Machine Learning Department, Carnegie Mellon University, 2005
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- SnapFind: brute force interactive image retrieval
L. Huston, Rahul Sukthankar, Derek Hoiem, and Jiaying Zhang
Third International Conference on Image and Graphics, December, 2004, pp. 154 - 159.
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- Object-Based Image Retrieval using the Statistical Structure of Images
Derek Hoiem, Rahul Sukthankar, Henry Schneiderman, and Larry Huston
IEEE Conference on Computer Vision and Pattern Recognition, June, 2004, pp. 490 - 497.
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- Diamond: A Storage Architecture for Early Discard in Interactive Search
Larry Huston, Rahul Sukthankar, Rajiv Wickremesinghe, M. Satyanarayanan, Gregory R. Ganger, Erik Riedel, and Anastassia Ailamaki
Proceedings of Usenix File and Storage Technologies (FAST), April, 2004.
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- An Efficient Recognition Technique for Mine-Like Objects Using Nearest-Neighbor Classification
Sudha Reese, Gita Sukthankar, and Rahul Sukthankar
Proceedings of Undersea Defense Technology Europe, June, 2003.
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- Shadow Elimination and Occluder Light Suppression for Multi-Projector Displays
Tat-Jen Cham, Jim Rehg, Rahul Sukthankar, and Gita Sukthankar
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, June, 2003, pp. 513 - 520.
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- Projected Light Displays Using Visual Feedback
Jim Rehg, M. Flagg, Tat-Jen Cham, Rahul Sukthankar, and Gita Sukthankar
Proceedings of the International Conference on Control, Automation, Robotics, and Vision, December, 2002, pp. 926 - 932.
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- Self-calibrating camera-projector systems for interactive displays and presentations
Rahul Sukthankar, Tat-Jen Cham, Gita Sukthankar, Jim Rehg, J. Hsu, and T. Leung
Proceedings of the Eighth IEEE International Conference on Computer Vision, July, 2001.
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- Argus: The Digital Doorman
Rahul Sukthankar and Robert Stockton
IEEE Intelligent Systems, Vol. 16, No. 2, March, 2001,
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- Dynamic Shadow Elimination for Multi-Projector Displays
Rahul Sukthankar, Tat-Jen Cham, and Gita Sukthankar
Proceedings of IEEE Computer Conference on Computer Vision and Pattern Recognition, 2001, pp. 151 - 157.
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- Smarter Presentations: Exploiting Homography in Camera-Projector Systems
Rahul Sukthankar, Robert Stockton, and Matthew Mullin
Proceedings of the International Conference on Computer Vision, 2001.
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- Self-Calibrating Camera-Assisted Presentation Interface
Rahul Sukthankar, Robert Stockton, and Matthew Mullin
Proceedings of International Conference on Control, Automation, Robotics and Computer Vision, December, 2000.
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- Automatic Keystone Correction for Camera-assisted Presentation Interfaces
Rahul Sukthankar, Robert Stockton, and Matthew Mullin
Proceedings of International Conference on Multimedia Interfaces, October, 2000.
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- Wavelet-based Kanji character recognition and completion
Robert Stockton and Rahul Sukthankar
Proceedings of the International Conference on Pattern Recognition, August, 2000.
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- Complete Cross-Validation for Nearest Neighbor Classifiers
Matthew Mullin and Rahul Sukthankar
Proceedings of the International Conference on Machine Learning, June, 2000.
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- Memory-based face recognition for visitor identification
Terence Sim, Rahul Sukthankar, Matthew Mullin, and Shumeet Baluja
Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition, March, 2000, pp. 214 - 220.
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- ARGUS: An Automated Multi-Agent Visitor Identification System
Rahul Sukthankar and Robert Stockton
Proceedings of AAAI-99, July, 1999.
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- High-Performance Memory-based Face Recognition for Visitor Identification
Terence Sim, Rahul Sukthankar, M. Mullin, and Shumeet Baluja
January, 1999.
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- An Efficient Technique for Calculating Exact Nearest-Neighbor Classification Accuracy
M. Mullin and Rahul Sukthankar
NIPS '99, 1999
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- Applying Machine Learning for High Performance Named-Entity Extraction
Shumeet Baluja, Vibhu Mittal, and Rahul Sukthankar
Pacific Association for Computtational Linguistics, 1999.
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- Multiple Adaptive Intelligent Agents for Tactical Driving
Rahul Sukthankar, Shumeet Baluja, and John Hancock
International Journal of Applied Intelligence, , 1998
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- Tactical-level Simulation for Intelligent Transportation Systems
Rahul Sukthankar, John Hancock, and Chuck Thorpe
Journal on Mathematical and Computer Modeling, Special Issue on ITS, Vol. 27, No. 9 - 11, 1998, pp. 228 - 242.
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- A Distributed Tactical Reasoning Framework for Intelligent Vehicles
Rahul Sukthankar, Dean Pomerleau, and Chuck Thorpe
SPIE: Intelligent Systems and Advanced Manufacturing, October, 1997.
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- Functional Sensor Modeling for Automated Highway System Simulations
Cem Unsal, Rahul Sukthankar, and Chuck Thorpe
SPIE on Intelligent Systems & Advanced Manufacturing, October, 1997.
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- Evolving an Intelligent Vehicle for Tactical Reasoning in Traffic
Rahul Sukthankar, Shumeet Baluja, and John Hancock
Proceedings of the International Conference on Robotics and Automation, April, 1997, pp. 519 - 524.
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- Situation Awareness for Tactical Driving
Rahul Sukthankar
doctoral dissertation, tech. report CMU-RI-TR-97-08, Robotics Institute, Carnegie Mellon University, January, 1997
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- A Simulation and Design System for Tactical Driving Algorithms
Rahul Sukthankar, John Hancock, Dean Pomerleau, and Chuck Thorpe
Proceedings of AI, Simulation and Planning in High Autonomy Systems, 1996.
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- Adaptive Intelligent Vehicle Modules for Tactical Driving
Rahul Sukthankar, John Hancock, Shumeet Baluja, Dean Pomerleau, and Chuck Thorpe
Proceedings AAAI '96, 1996.
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- Prototyping Intelligent Vehicle Modules Using Evolutionary Algorithms
Shumeet Baluja, Rahul Sukthankar, and John Hancock
Evolutionary Algorithms in Engineering Applications, Dasgupta, D. and Michalewicz, Z., ed., Springer-Verlag, Berlin, 1996, pp. 241 - 257.
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- SHIVA: Simulated Highways for Intelligent Vehicle Algorithms
Rahul Sukthankar, Dean Pomerleau, and Chuck Thorpe
Proceedings of Intelligent Vehicles '95, September, 1995, pp. 332 - 337.
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- AVCS Research at Carnegie Mellon University
Dean Pomerleau, Chuck Thorpe, Dirk Langer, Julio Rosenblatt, and Rahul Sukthankar
Proceedings of Intelligent Vehicle Highway Systems, 1994.
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- Panacea: An Active Sensor Controller for the ALVINN Autonomous Driving System
Rahul Sukthankar, Dean Pomerleau, and Chuck Thorpe
tech. report CMU-RI-TR-93-09, Robotics Institute, Carnegie Mellon University, April, 1993
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- Panacea: An Active Sensor Controller for the ALVINN Autonomous Driving System
Rahul Sukthankar, Dean Pomerleau, and Chuck Thorpe
Proceedings of the International Symposium on Robotics Research, 1993.
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- RACCOON: A Real-time Autonomous Car Chaser Operating Optimally at Night
Rahul Sukthankar
Proceedings of the IEEE IV'93, 1993.
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- RACCOON: A Real-time Autonomous Car Chaser Operating Optimally at Night
Rahul Sukthankar
tech. report CMU-RI-TR-92-13, Robotics Institute, Carnegie Mellon University, October, 1992
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