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.

• Laurens Van Der Maaten

Recent alumni

• Daniel Hsu (Ph.D. 2010) → University of Pennsylvania
• Justin Ma (Ph.D. 2010) → UC Berkeley
• Lawrence Cayton (Ph.D. 2009) → Max Planck Institute
• Vincent Rabaud (Ph.D. 2009) → VideoSurf
• Antoni Chan (Ph.D. 2008) → City University of Hong Kong
• Dashan Gao (Ph.D. 2008) → General Electric Global Research
• Neel Joshi (Ph.D. 2008) → Microsoft Research
• Andrew Rabinovich (Ph.D. 2008) → Google
• 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


• Janet Hsiao (postdoc 2006-2008) → University of Hong Kong
• Tim Marks (postdoc 2006-2008) → MERL
• Claire Monteleoni (postdoc 2006-2008) → CCLS, Columbia University
• Sanmay Das (postdoc 2006-2007) → Rensselaer Polytechnic Institute

Recent Publications

• K. Wang and S. Belongie. Word spotting in the wild. In Proceedings of the 11th European Conference on Computer Vision (ECCV-10). Heraklion, Crete. September 2010.

• M. Bozorgi, L. K. Saul, S. Savage, and G. M. Voelker. Beyond heuristics: learning to classify vulnerabilities and predict exploits. In Proceedings of the 16th ACM Conference on Knowledge Discovery and Data Mining (KDD-10). Washington, DC. July 2010.

• K. Bicknell and R. Levy. A rational model of eye movement control in reading. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL). Uppsala, Sweden. July 2010.

• K. Chaudhuri, Y. Freund and D. Hsu. An online learning-based framework for tracking. In Proceedings of Conference on Uncertainty in Artificial Intelligence (UAI-10). Catalina Island, CA. July 2010.

• H. Masnadi-Shirazi and N. Vasconcelos. Risk minimization, probability elicitation, and cost-sensitive SVMs. In Proceedings of the 27th International Conference on Machine Learning (ICML-10). Haifa, Israel. June 2010.

• B. McFee and G. Lanckriet. Metric learning to rank. In Proceedings of the 27th International Conference on Machine Learning (ICML-10). Haifa, Israel. June 2010.

• A. B. Chan, E. Coviello, and G. R. G. Lanckriet. Clustering dynamic textures with the hierarchical EM algorithm. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR-10). San Francisco, CA. June 2010.

• C. Galleguillos, B. McFee, S. Belongie, and G.R.G. Lanckriet. Multi-class object localization by combining local contextual interactions. In Proceedings of the IEEE Conference in Computer Vision and Patter Recognition (CVPR-10). San Francisco, CA. June 2010.

• C. Kanan and G.W. Cottrell. Robust classification of objects, faces, and flowers using natural image statistics. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR-10). San Francisco, CA. June 2010.

• V. Mahadevan, W. Li, V. Bhalodia, and N. Vasconcelos. Anomaly detection in crowded scenes. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR-10). San Francisco, CA. June 2010.

• H. Masnadi-Shirazi, N. Vasconcelos, and V. Mahadevan. On the design of robust classifiers for computer vision. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR-10). San Francisco, CA. June 2010.

• T. Winlock, E. Christiansen, and S. Belongie. Toward real-time grocery detection for the visually impaired. In Proceedings of the 3rd Workshop for Computer Vision Applications for the Visually Impaired (CVAVI-10). San Francisco, CA. June 2010.

• T. Wu, M.S. Bartlett, and J. Movellan. Facial expression recognition using Gabor motion energy filters. In Proceedings of the IEEE International Workshop on CVPR for Human Communicative Behavior Analysis (CVPR4HB-10). San Francisco, USA. June 2010.

• B. K. Sriperumbudur, K. Fukumizu, A. Gretton, B. Scholkopf and G. R. G. Lanckriet. Non-parametric estimation of integral probability metrics. In Proceedings of IEEE International Symposium on Information Theory (ISIT-10). Austin, TX. June 2010.

• K. Q. Weinberger, F. Sha, and L. K. Saul. Convex optimizations for distance metric learning and pattern classification. IEEE Signal Processing Magazine 27(3):146-158. May 2010.

• J. T. Ma, A. Kulesza, M. Dredze, K. Crammer, L. K. Saul, and F. C. N. Pereira. Exploiting feature covariance in high-dimensional online learning. In Proceedings of the 13th International Conference on Artificial Intelligence and Statistics (AISTATS-10). Sardinia, Italy.

• B. K. Sriperumbudur, K. Fukumizu, and G. R. G. Lanckriet. On the relation between universality, characteristic kernels and RKHS embedding of measures. In Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10). Sardinia, Italy. May 2010.

• L. Cerulo, C. Elkan, and M. Ceccarelli. Learning gene regulatory networks from only positive and unlabeled data. BMC Bioinformatics 11:228. May 2010.

• B. K. Sriperumbudur, K. Fukumizu, A. Gretton, B. Scholkopf, and G. R. G. Lanckriet. Hilbert space embeddings and metrics on probability measures. Journal of Machine Learning Research. 11:1517-1561. April 2010.

• C. Galleguillos and S. Belongie Context based object categorization: a critical survey. Computer Vision and Image Understanding 114:712-722. March 2010.

• H. Masnadi-Shirazi and N. Vasconcelos. Cost-sensitive boosting. IEEE Transactions on Pattern Analysis and Machine Intelligence. March 2010.

• Z. Zhang and B. D. Rao. Sparse signal recovery in the presence of correlated multiple measurement vectors. In Proceedings of the 35th International Conference on Acoustics, Speech, and Signal Processing (ICASSP-10). Dallas, TX. March 2010.

• L. Barrington, A. Chan, and G. R. G. Lanckriet. Modeling music as a dynamic texture. IEEE Transactions on Audio, Speech and Language Processing 18(3):602-612. March 2010.

• V. Mahadevan and N. Vasconcelos. Spatiotemporal saliency in highly dynamic scenes. IEEE Transactions on Pattern Analysis and Machine Intelligence 32(1):171-177. January 2010.

• [Publications Archive]

Affiliations

	CalIT2	Computational Statistics and Machine Learning Group
	Computer Audition Lab	Computer Vision Laboratory
	Institute for Neural Computation	Machine Perception Lab
	Statistical Visual Computing Lab	Temporal Dynamics of Learning Center