OHSU

Todd Leen

leen

Email:
Phone: 503 748-1160
Fax: 503 748-1306
Website: http://www.ohsu.edu/xd/education/schools/school-of-medicine/departments/basic-science-departments/biomedical-engineering/people/todd-leen-home-page.cfm

Current Appointment
Professor

Office
Central Building, Room 157 (West Campus)

Research Area
Center for Spoken Language Understanding
Neuroengineering

Research Interests
Machine Learning: Local and mixture models, stochastic learning, and Bayesian methods with applications to environmental sensor network monitoring, data and model/data fusion, and fault detection. Computational neuroscience.

Selected Publications

  • R. Sharma, T.K. Leen and M. Pavel, "Bayesian Image Sensor Fusion Using Local Linear Generative Models," Optical Engineering, 40, 1364, 2001.
  • C. Archer and T.K. Leen, "The Coding Optimal Transform," in Proceedings of the Data Compression Conference 2001, IEEE Computer Press, 2001.
  • C. Archer and T.K. Leen, "From Mixtures of Mixtures to Adaptive Transform Coding," in Advances in Neural Information Processing Systems,
  • T. Leen, T. Dietterich, V. Tresp, eds., 13, MIT Press, 2001.
  • W. Wei, T.K. Leen and E. Barnard, "A Fast Histogram-Based Postprocessor that Improves Posterior Probability Estimates," Neural Computation, 11, 1235, 1999.
  • T.K. Leen, B. Schottky and D. Saad, "Optimal Symptotic Learning: Macroscopic Versus Microscopic Dynamics," Physical Review E, 59, 985, 1999.
  • T.K. Leen and J.E. Moody, "Stochastic Manhattan Learning: Time-Evolution Operator for the Ensemble Dynamics," Physical Review E, 56, 1262, 1997.
  • N. Kambhatla and T.K. Leen, "Dimension Reduction by Local Principal Component Analysis," Neural Computation, 9, 1493, 1997.
  • T.K. Leen, "From Data Distribution to Regularization in Invariant Learning," Neural Computation, 7, 974, 1995.
  • T.K. Leen, "A Coordinate-Independent Center Manifold Reduction," Physics Letters, A 174, 89, 1993.