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| Artificial Intelligence Group |
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The Artificial Intelligence Group at UCSD engages in a wide range of theoretical and experimental research. Areas of particular strength include machine learning, probabilistic inference, neural computation, and cognitive modeling. Within these areas, students and faculty also pursue real-world applications to problems in computer vision, speech and audio processing, information retrieval, bioinformatics, brain-computer interfaces, and computer systems and networking. The Artificial Intelligence Group is part of a larger campus-wide effort in Computational Statistics and Machine Learning (COSMAL). Interdisciplinary collaborations are strongly supported and encouraged.
| People | News | Publications | Affiliations |
Core Faculty (CSE)
Affiliated Faculty
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PhD Students
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Postdocs
Recent alumni
- Douglas Turnbull (Ph.D. 2008) → Swarthmore College
- Kristin Branson (Ph.D. 2007) → Caltech
- Piotr Dollár (Ph.D. 2007) → Caltech
- Sameer Agarwal (Ph.D. 2007) → University of Washington
- Eric Wiewiora (Ph.D. 2007) → University of Alberta
- Lingyun Zhang (Ph.D. 2007) → ID Analytics
- Sanmay Das (postdoc 2006-2007) → Rensselaer Polytechnic Institute
News
| (6/17/08) After postdoctoral work at UC Berkeley and Yahoo Research, Fei Sha will start in the fall as an assistant professor in the Computer Science Department at USC. Fei was the first PhD student supervised by Lawrence Saul. | 
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| (6/13/08) This year's summer internships: William Beaver (DriveCam), Lawrence Cayton (Yahoo!), Jie Cheng (IBM), Daniel Hsu (Yahoo!), Mayank Kabra (Broad Institute), Kai Wang (Google). |
| (6/09/08) Lawrence Saul has been selected to be the next editor-in-chief of the Journal of Machine Learning Research (JMLR), one of the flagship journals in the field. Lawrence has been on the editorial board of JMLR since 2001. | 
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| (5/7/08) Congratulations to Doug Turnbull, who successfully defended his PhD thesis on The Design and Development of a Semantic Music Discovery Engine. Doug is leaving his surfboard in San Diego and will start a faculty position in the fall at Swarthmore. |
| (4/24/08) Yoav Freund has been elected as a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI). The award recognizes Yoav's significant contributions to machine learning, including the development of practical boosting algorithms. Congratulations, Yoav! | 
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   | (4/14/08) Nine papers from UCSD were accepted at this year's ICML, COLT, and UAI. Congratulations to all the authors. Still no word from the chancellor if we can charter a private jet to Helsinki. |
Recent Publications
C. Elkan and K. Noto. Learning classifiers from only positive and unlabeled data. In Proceedings of the Fourteenth International Conference on Knowledge Discovery and Data Mining (KDD-08). Las Vegas, NV. August 2008.
L. Cayton. Fast nearest neighbor retrieval for bregman divergences. In Proceedings of the Twenty Fifth International Conference on Machine Learning (ICML-08). Helsinki, Finland. July 2008.
S. Dasgupta and D. Hsu. Hierarchical sampling for active learning. In Proceedings of the Twenty Fifth International Conference on Machine Learning (ICML-08). Helsinki, Finland. July 2008.
B. K. Sriperumbudur, A. Gretton, K. Fukumizu, G. Lanckriet, and B. Scholkopf. Injective Hilbert space embeddings of probability measures. In Proceedings of the Twenty Fifth International Conference on Machine Learning (ICML-08). Helsinki, Finland. July 2008.
K. Q. Weinberger and L. K. Saul. Fast solvers and efficient implementations for distance metric learning. In Proceedings of the Twenty Fifth International Conference on Machine Learning (ICML-08). Helsinki, Finland. July 2008.
K. Chaudhuri and A. McGregor. Finding metric structure in information-theoretic clustering. In Proceedings of the Twenty First Annual Conference on Computational Learning Theory (COLT-08). Helsinki, Finland. July 2008.
K. Chaudhuri and S. Rao. Beyond Gaussians: spectral methods for learning mixtures of heavy-tailed distributions. In Proceedings of the Twenty First Annual Conference on Computational Learning Theory (COLT-08). Helsinki, Finland. July 2008.
K. Chaudhuri and S. Rao. Learning mixtures of product distributions using correlations and independence. In Proceedings of the Twenty First Annual Conference on Computational Learning Theory (COLT-08). Helsinki, Finland. July 2008.
B. K. Sriperumbudur, O. Lang, and G. Lanckriet. Metric embedding for kernel classification rules. In Proceedings of the Twenty First Annual Conference on Computational Learning Theory (COLT-08). Helsinki, Finland. July 2008.
K. Noto and M. Craven. Learning hidden Markov models for regression using path aggregation. In Proceedings of the Twenty Fourth Annual Conference on Uncertainty in Artificial Intelligence (UAI-08) Helsinki, Finland. July 2008.
N. Alldrin, T. Zickler, and D. Kriegman. Photometric stereo with non-parametric and spatially-varying reflectance . In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR-08). Anchorage, AK. June 2008.
A. B. Chan, Z. S. J. Liang, and N. Vasconcelos. Privacy preserving crowd monitoring: counting people without people models or tracking. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR-08). Anchorage, AK. June 2008.
M. Chandraker and D. Kriegman. Globally optimal bilinear programming for computer vision applications. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR-08). Anchorage, AK. June 2008.
C. Galleguillos, A. Rabinovich, and S. Belongie. Object categorization using co-occurrence, location and appearance. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR-08). Anchorage, AK. June 2008.
V. Rabaud and S. Belongie. Re-thinking non-rigid structure from motion. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR-08). Anchorage, AK. June 2008.
N. Rasiwasia and N. Vasconcelos. A study of query by semantic example. In Proceedings of the Third International Workshop on Semantic Learning and Applications in Multimedia (SLAM-08). Anchorage, AK. June 2008.
N. Rasiwasia and N. Vasconcelos. Scene classification with low dimensional semantic spaces and weak supervision. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR-08). Anchorage, AK. June 2008.
H. Shan and G. W. Cottrell. Looking around the back yard helps the recognition of faces and digits. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR-08). Anchorage, AK. June 2008.
T. K. Marks, A. Howard, M. Bajracharya, G. W. Cottrell, and L. Matthies. Gamma-SLAM: Using stereo vision and variance grid maps for SLAM in unstructured environments. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA-08). Pasadena, CA. May 2008.
N. J. Butko, L. Zhang, G. W. Cottrell, and J. R. Movellan. Visual saliency model for robot cameras. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA-08). Pasadena, CA. May 2008.
S. Dasgupta and Y. Freund. Random projection trees and low dimensional manifolds. In Proceedings of the Fortieth ACM Symposium on the Theory of Computing (STOC-08). Victoria, Canada. May 2008.
A. B. Chan and N. Vasconcelos. Modeling, clustering, and segmenting video with mixtures of dynamic textures. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(5): 909-926. May 2008.
C. C. Cheng, D. J. Hu, and L. K. Saul. Nonnegative matrix factorization for real time musical analysis and sight-reading evaluation. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP-08), pages 2017-2020. Las Vegas, NV. April 2008.
M. H. Tong, C. A. Joyce, and G. W. Cottrell. Why is the fusiform face area recruited for novel categories of expertise? A neurocomputational investigation . Brain Research 1202:14-24. April 2008.
R. Levy. Expectation-based syntactic comprehension. Cognition 106(3):1126-1177. March 2008.
J. P. McCleery, L. Zhang, L. Ge, Z. Wang, E. M. Christiansen, K. Lee, and G. W. Cottrell. The roles of visual expertise and visual input in the face inversion effect: Behavioral and neurocomputational evidence. Vision Research 48(5):703-715. February 2008.
D. Turnbull, L. Barrington, D. Torres, and G. Lanckriet. Semantic annotation and retrieval of music and sound effects. IEEE Transactions on Audio, Speech, and Language Processing 16(2): 467-476. February 2008.
P. S. Hammon, S. Makeig, H. Poizner, E. Todorov, and V. R. de Sa. Predicting reaching targets from human EEG. IEEE Signal Processing Magazine 25(1): 69-77. January 2008.
D. Gao and N. Vasconcelos. Decision-theoretic saliency: computational principles, biological plausibility, and implications for neurophysiology and psychophysics. To appear in Neural Computation, 2008.
D. Gao, V. Mahadevan, and N. Vasconcelos. On the plausibility of the discriminant center-surround hypothesis for visual saliency. To appear in Journal of Vision, 2008.
J. Hsiao and G. W. Cottrell. Two fixations suffice in face recognition. To appear in Psychological Science, 2008.
J. Hsiao, D. Shieh, and G. W. Cottrell. Convergence of the visual field split: hemispheric modeling of face and object recognition. To appear in Journal of Cognitive Neuroscience, 2008.
F. Sha and L. K. Saul. Large margin training of continuous density hidden Markov models. To appear in J. Keshet and S. Bengio (eds.), Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods. John Wiley & Sons, 2008.
T. S. Sullivan and V. R. de Sa. Sleeping our way to weight normalization and stable learning. To appear in Neural Computation, 2008.
M. Vasconcelos and N. Vasconcelos. Natural image statistics and low-complexity feature selection. To appear in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008.
[Publication Archive] (coming soon)
