- Thought Recognition: Predicting and Decoding Brain Activity Using the Zero-Shot Learning Model
Mark Palatucci
doctoral dissertation, tech. report CMU-RI-TR-11-05, Robotics Institute, Carnegie Mellon University, April, 2011
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- Zero-Shot Learning with Semantic Output Codes
Mark Palatucci, Dean Pomerleau, Geoffrey Hinton, and Tom Mitchell
Neural Information Processing Systems (NIPS), December, 2009.
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pdf (190KB) | Copyrighted
- Blockwise Coordinate Descent Procedures for the Multi-task Lasso, with Applications to Neural Semantic Basis Discovery
Han Liu, Mark Palatucci, and Jian Zhang
International Conference on Machine Learning, June, 2009.
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pdf (257KB) | Copyrighted
- Discovering a Semantic Basis of Neural Activity Using Simultaneous Sparse Approximation
Mark Palatucci, Tom Mitchell, and Han Liu
International Conference on Machine Learning, Sparse Optimization and Variable Selection Workshop, July, 2008.
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pdf (93KB) | Copyrighted
- On the Chance Accuracies of Large Collections of Classifiers
Mark Palatucci and Andrew Carlson
Proceedings of the 25th International Conference on Machine Learning, July, 2008.
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pdf (161KB) | Copyrighted
- Classification in Very High Dimensional Problems with Handfuls of Examples
Mark Palatucci and Tom Mitchell
Principles and Practice of
Knowledge Discovery in Databases (ECML/PKDD), September, 2007.
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pdf (177KB) | Copyrighted
- Stanley: The Robot that Won the DARPA Grand Challenge
Sebastian Thrun, Michael Montemerlo, Hendrik Dahlkamp, David Stavens, Andrei Aron, James Diebel, Philip Fong, John Gale, Morgan Halpenny, Gabriel Hoffmann, Kenny Lau, Celia Oakley, Mark Palatucci, Vaughan Pratt, Pascal Stang, Sven Strohband, Cedric Dupont, Lars-Erik Jendrossek, Christian Koelen, Charles Markey, Carlo Rummel, Joe van Niekerk, Eric Jensen, Philippe Alessandrini, Gary Bradski, Bob Davies, Scott Ettinger, Adrian Kaehler, Ara Nefian, and Pamela Mahoney
Journal of Field Robotics, Vol. 23, No. 9, June, 2006, pp. 661-692.
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