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Artificial Intelligence

Image deblurring and denoising using color priors

Image deblurring and denoising using color priors, N. Joshi, C. L. Zitnick, R. Szeliski, and D. J. Kriegman, Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on, June, p.1550 -1557, (2009). Miami, FL. PDF

Discriminant Saliency, the Detection of Suspicious Coincidences, and Applications to Visual Recognition

Discriminant Saliency, the Detection of Suspicious Coincidences, and Applications to Visual Recognition, Dashan Gao, Sunhyoung Han, and N. Vasconcelos, Pattern Analysis and Machine Intelligence, IEEE Transactions on, June, Volume 31, Number 6, p.989 -1005, (2009). PDF

Linear embeddings in non-rigid structure from motion

Linear embeddings in non-rigid structure from motion, V. Rabaud, and S. Belongie, Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on, June, p.2427 -2434, (2009). Miami, FL. PDF

A model of local coherence effects in human sentence processing as consequences of updates from bottom-up prior to posterior beliefs

A model of local coherence effects in human sentence processing as consequences of updates from bottom-up prior to posterior beliefs, Klinton Bicknell, and Roger Levy, Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, May, Stroudsburg, PA, USA, p.665–673, (2009). NAACL '09. Boulder, Colorado. URL PDF

ResBoost: characterizing and predicting catalytic residues in enzymes

ResBoost: characterizing and predicting catalytic residues in enzymes, Ron Alterovitz, Aaron Arvey, Sriram Sankararaman, Carolina Dallett, Yoav Freund, and Kimmen Sjolander, BMC Bioinformatics, June, Volume 10, Number 1, p.197, (2009). URL PDF

Minimal-length linearizations for mildly context-sensitive dependency trees

Minimal-length linearizations for mildly context-sensitive dependency trees, Albert Y. Park, and Roger Levy, Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, May, Stroudsburg, PA, USA, p.335–343, (2009). NAACL '09. Boulder, Colorado. URL PDF

A Spectral Algorithm for Learning Hidden Markov Models

A Spectral Algorithm for Learning Hidden Markov Models, Daniel Hsu, Sham M. Kakade, and Tong Zhang, Proceedings of the 22nd Annual Conference on Learning Theory, June, (2008). COLT-0. Montreal, Canada. PDF

Dynamic texture models of music

Dynamic texture models of music, L. Barrington, A. B. Chan, and G. Lanckriet, Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on, April, p.1589 -1592, (2009). Taipei, Taiwan. PDF

Escaping the curse of dimensionality with a tree-based regressor

Escaping the curse of dimensionality with a tree-based regressor, Samory Kpotufe, Proceedings of the 22nd Annual Conference on Learning Theory, June, (2009). COLT-09. Montreal, Canada. PDF

Sparse decomposition of mixed audio signals by basis pursuit with autoregressive models

Sparse decomposition of mixed audio signals by basis pursuit with autoregressive models, Youngmin Cho, and L. K. Saul, Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on, April, p.1705 -1708, (2009). Taipei, Taiwan. PDF
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